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    A STUDY ON THE HEALTHY, SAFETY AND WELFARE

    MEASURES IN LUCAS- TVS LIMITED,

    THIRUVANDARKOIL, PUDHUCHERRY

    A PROJECT REPORT

    Submitted by

    K.JAYRAJ

    (REG NO: 21610631020)

    In partial fulfillment for the award of the degree

    Of

    MASTER OF BUSINESS ADMINISTRATION

    SAVEETHA ENGINEERING COLLEGE

    THANDALAM, CHENNAI

    ANNA UNIVERSITY OF TECHNOLOGY CHENNAI

    JUNE 2012

    BONAFIDE CERTIFICATE

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    This is to certify that the project titled A STUDY ON THE HEALTHY, SAFETY

    AND WELFARE MEASURES IN LUCAS- TVS LIMITED, THIRUVANDARKOIL,

    PUDHUCHERRY is a bonafide research work carried out independently by

    K.JAYRAJ , (REG NO: 21610631020)who carried out the project work under

    my supervision.

    SIGNATURE SIGNATURE

    Mr. A. GANDHI Mr. MURUGAN MBA,

    HEAD OF THE DEPARTMENT ASST.PROFESSOR(OG),

    Department of Management Studies Department of MBA

    Saveetha Engineering College Saveetha Engineering College

    Thandalam Thandalam

    Chennai-105 Chennai-105

    DECLARATION

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    I, JAYRAJ .Khereby declare that the project entitled A STUDY ON THE

    HEALTHY, SAFETY AND WELFARE MEASURES IN LUCAS- TVS LIMITED,

    THIRUVANDARKOIL, PUDHUCHERRY has been done by me as a partial

    fulfillment for the award of degree Master of Business Administration. The

    project report is drafted by me and is original to the best of my knowledge and

    belief.

    Place : Chennai Signature of the Student

    Date :

    ACKNOWLEDGEMENT

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    I express my deep sense of gratitude to beloved Founder President,

    Dr.N.M.VEERAIYAN for his encouragement and guidance.

    I would like to express my heartfelt gratitude to our honourable

    PRESIDENT, DR. N.M.VEERAIYAN , and DIRECTOR DR. S.RAJESH ,

    for his continuous support throughout the project.

    I am indebted to the Head of the Department,MR. A. GANDHIfor his

    constant support for this project.

    I express my sincere thanks to my internal guide Asst.Professor,

    MURUGAN MBA, for her valuable suggestion, encouragement, and support

    for successful completion of the project.

    I like to express my whole hearted gratitude to our internal guide MR.

    CHANDRA MOULI Lecturer for her valuable suggestions and constant

    encouragement for successful completion of this project.

    I express my gratitude to Mr.SARAVANAN, HR Manager LUCAS TVSPUDHUCHERRY.For having allowed me to do the project in their esteemedorganization and for his constant support.

    Finally I thank all the members of the college, staff for their help to complete

    the project successfully.

    Signature

    DESCRIPTION OF THE WORK

    CHAPTER-1 INTRODUCTION

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    CHAPTER-2 REVIEW OF THE LITERATURE

    CHAPTER-3 RESEARCH METHODOLOGY

    CHAPTER-4 DATA ANALYSIS AND INTERPRETATIONS

    CHAPTER-5 FINDINGS, SUGGESTIONS & CONCLUSIONS

    ANNEXURE BIBLIOGRAPHY,

    QUESTIONNAIRE.

    TABLE OF CONTENT

    CHAPTER NO TITLE PAGE NO

    1. INTRODUCTION

    1.1 ABOUT THE STUDY 1

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    1.4 COMPANY PROFILE 6

    1.5 OBJECTIVES OF STUDY 13

    1.6 LIMITATION OF STUDY 14

    1.7 SCOPE OF STUDY 12

    2. REVIEW OF LITERATURE

    2.1 REVIEW OF LITERATURE 25

    3. RESEARCH METHODOLGY

    3.1 RESEARCH DESIGN 15

    3.2 COLLECTION OF DATA 16

    3.3 SAMPLING TECHNIQUES 16

    3.4 TOOLS TO BE USED 17

    4. DATA ANALYSIS AND INTERPRETATIONS

    5. FINDINGS, SUGGESTIONS, CONCLUSION.

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    5.1 FINDINGS 72

    5.2 SUGGESTIONS 78

    5.3 CONCLUSION 79

    ANNEXURE

    BIBILIOGRAPHY

    QUESTIONNAIRE 80

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    CHAPTER -I

    1.1 INTRODUCTION

    Human resources play a crucial role in the development process of modern economics.

    Arthur Lewis observed, There are great differences in development between countries which

    seem to have roughly equal resources, so it is necessary to inquire into difference in human

    behavior. It is felt that though the exploitation of natural resources, availability of physical

    and financial resources and international aid play prominent role in the growth of modern

    economics, none of these factors is more significance than efficient and committed

    manpower. It is in fact said that all development comes from human mind.

    When individuals come to their workplace, they come with not only technical skill,

    knowledge etc, but also with their personal feelings, perception, desires, motives, attitudes,

    values etc. They want that some of their needs should be satisfied through the organization

    for which they are working. Therefore employee management does mean management of not

    only technical skills but also other of the human resources.

    After employees have been hired, trained and remunerate, they need to be retained and

    maintained to serve the organization better. Welfare facilities are designed to take care of the

    well being of the employees. They do not generally result in any monetary benefit to the

    employees. Nor these facilities provided by employers alone.

    Governmental and non-governmental agencies and trade unions too, contribute towards

    employee welfare. Welfare means faring or doing well. It is comprehensive term, and refers

    to the physical, mental, moral and emotional well being of an individual. Further the term

    welfare is a relative concept, relative in time and space. It therefore varies from time to time;

    form region to region and from country to country. Lab our welfare also referred to as

    betterment work for employees, relates to taking care of the well-being of workers by

    employers, trade union, and government and non-government agencies.

    Thousands of employees throughout the world lose their fingers, eyes, limbs and lives,

    everyday. Much blood flows in the sewers of industrial establishments. The peril inherent in

    industrial work has made the life of the worker very cheap. Safety in simple terms means

    freedom from the occurrence of risk or injury or loss. Industrial personnel and administration

    department at TVS-Lucas limited.

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    Personal policy:

    TVS-Lucas limited is strongly driven by the philosophy that HR is the strongest, most

    valuable of all the responsibilities for every organization. Human nature is very complex and

    to harness and get the best for the benefit of the organization, as well as individual utmost

    care is exercised right from the stage of selection through the entire HRD.

    In this direction the company tries to achieve the following.

    Organization role by the participating team effort. Harmonious and synergetic employee-employer relations and welfare measures to develop

    highest level of motivation, mutual respect, trust and co-operation.

    Provide growth opportunities for each individual. Provide appropriate training and achieve full potentials of individual. Create and maintain environment and work culture and provide for speedy grievance re-

    dresses for effective functioning of the organization.

    Provides free and smooth communication channels.The personnel department undertakes the various functions like

    1. Manpower planning and organizational charts.2. Selection and recruitment.3. Granting leaves.4. Leave travel assistance.5. Medicals reimbursement allowance.6. Loan schemes.7. Allowances.8. Transfer and re-location.9. Code of conducting discipline.10.Appraisal, increments and promotions.11.Training and development.12.Feedback system13.Separation and retirement.

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    1.2 STATEMENT OF THE PROBLEM

    Human resource management has long been recognized by many developing nations as a

    basic factor for socio-economic emancipation. It is a process that is concerned with the

    improvement and growth of the capabilities of individuals and group a within the

    organization. In the changed global scenario of industrial development which fosters a drive

    competitiveness based on improved quality in all functions of an organization, concern on

    occupational health safety and welfare have received special significance. In our modern

    industrial society, the concept of labor welfare has gained significant importance.

    Because, it is closely associated with the productivity of lobor, lobor turnover, absenteeism,

    morale and other economic consideration of lobor.

    In view of the above regard, to know the effect of these measures a study has been done on

    the provision of the employee health safety and welfare measures in TVS-Lucas limited, the

    Puducherry so as to study the effectiveness of these measures in building the morale of the

    employees and increase in the productivity of the organization.

    1.3 INDUSTRY PROFILE

    The Automobile Industry in India is the seventh largest in the world with an annual

    production of over 2.6 million units in 2009 India emerged as Asias fourth largest exporterof automobiles, behind Japan, south Korea and Thailand b 2050 the country is expected to

    top the world in car volumes with approximately 611 million vehicles on the nations roads.

    Following economic liberalization in India 1991, the Indian automotive industry has

    demonstrated sustained growth as a result of competitiveness and relaxed restriction. Several

    Indian automobile manufactures. Such as TATA Motors, Maruti Suzuki and Mahindra and

    Mahindra, expanded their domestic and international operations. Indias robust economic

    growth led to the further expansion of its domestic automobile market which attracted

    significant India-specific investment by multinational automobile manufactures. In February

    2009, monthly sales of passenger car in India exceeded 1, 00,000 units.

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    Rank wise Largest Automobile Manufacturers in India by sales

    Maruti Suzuki Hyuandai TATA Motors Mahindra & Mahindra GM Chevrolet Honda HSD Ford Fiat Motors

    TVS-DIVISIONS:

    Lucas-TVS have grown hand in hand with the automobile Industry in the country. The

    companys policies have recognized the need to respond effectively to changing customer

    needs helping to proper it to a position of reliability and flexibility by channeling its interest.

    At present there are 7 divisions

    Padi, Chennai Nettapakkam, Puducherry Rewari, Haryana Thiruvandarkoil, Puducherry Chakan, Pune Uttarakhand, Uttaranchal Indrad, Chennai

    Competitors

    Visteon Siemens IFD Bosch Remy Mitsuba are the competitors for Lucas-TVS

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    Departments in Lucas-TVS:

    HR & Security Stores Customer Dispatch Centre Maintenance Purchase Production Quality Information Technology Finance Methods

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    1.4 COMPANY PROFILE

    Lucas TVS Limited (Auto Electrical Division) is the third largest four wheeler and two

    wheeler manufactures in India and among the top ten in the world, the TVS group has today

    the largest auto motive component manufacturer in India, with annual turnover of more thanUSD 4 billion.

    The TVS group has been inspired by a century long mission and vision of its own destiny. It

    is not just a business, which differentiate TVS from others. The success of the group is its

    philosophy of commitment to the cherished values of promoting trust, values and customer

    service. This was the personal philosophy of the groups founder Shri TVS Sundharam

    Iyenger, and it remains the overarching code by which the group functions.

    About LucasTVS:LucasTVS was set up in 1961 as a joint venture of Lucas Industries Pvt Ltd., UK and T.V

    Sundharam Iyengar & Sons [Tvs] India, to manufacture Automotive Electrical system one

    top ten Automotive component suppliers in the world, Lucas-verity was formed by the

    merger of the Lucas industries of the UK and the variety corporation of the US September

    1996.

    The company design, manufactures and suppliers advanced technology systems, products and

    services to the worlds automotive, diesel engines and aerospace industries. The combination

    of these two well-known groups has resulted in the establishment of a vibrant company,

    which has had a successful track record of sustained growth over the last three decades.

    Tvs is one of Indias twenty large industries hours with twenty-five manufacturing companies

    and turnover in excess of us $1.3 million. The turnover of Lucas-TVS and its division is US

    $23.3 million in 2003-2004. Lucas Indian services Indias leading source of sales and

    services of auto-electrical and fuel injection equipment manufactured by Lucas-TVS in the

    aftermarket segment. The branch on thiruvandarkovil was started I the year 2006.

    MISSION & VISION:

    MISSION:

    To be a respected supplier in the global auto industry, by developing innovative products and

    solution of value to customers creative skills and involvement of employees, suppliers and

    dealers and use of contemporary technology.

    VISION

    Dominant supplier to all leading vehicle manufacturers in India.

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    Strong presence in select NICHE market. Recognized supplier to vehicle / engine manufacturers in Europe for starters, alternators and

    small motors.

    By 2015, reach sales turnover of Rs.3500 Crorces (USD 770 million) with a third beingexport sales.

    Customer delight and stake-holders pride will form the basis of all our activities.

    QUALITY POLICY

    We are committed to achieving ever increasing level of customer satisfaction through

    continual improvements to the quality of our products and services by continually improving

    the effectiveness of quality management system.It will be our Endeavour to increase customer trust and confidence in the label Made by

    Lucas-TVS

    QUALITY OBJECTIVES

    Continual reduction of warranty returns. Deliver products to customer in right quality on time every time. Providing warranty services to customer within 48 hours of receiving complaints.

    ENVIRONMENTAL POLICY

    Eliminate, minimize and control adverse environmental impacts, occupational health andsafety risks at all levels and functions.

    Institutionalize adoption of environmental friendly, health and safety concepts whiledesigning our products and processes.

    Conserve resources by applying 3R concepts (reduce, reuse and recycle) and minimizegeneration of inevitable wastes.

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    THE PHILOSOPHY OF TVS IS

    Trust, Value & Service.NETWORK

    The company deliver product quickly and at competitive rate at any part of india. Theproduction units are located in following places.

    Chennai Puducherry Rewari Chakan Uttarkhand Indrad

    CUSTOMERS

    Maruti Udyog Ltd., TATA Engineering & Locomotive Company Ford India Mahindra Nissan Ashok Leyland General Motor India Hyundai Motors

    CERTIFICATE & AWARDS

    ISO / TS 16949 : 2009 BS OHSAS 18001 : 2007 ISO 14001 : 2004

    Profile of the Company

    Company Name Lucas-TVS Limited

    Founder Shri.T.V.Sundaram Iyengar

    Year of commencement at

    Thiruvandarkoil2006

    Nature of WorkManufacturing of Solenoid Switches, Wiper

    Motor and Small Motors

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    Address

    No.10, Kothapurinatham Main Road,

    Thriuvandarkoil,

    Puducherry-605 102.

    India.Website www.lucastvs.com

    Number of Employees 400

    http://www.lucastvs.com/http://www.lucastvs.com/
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    1.5 PRODUCT PROFILE

    Lucas-TVS, foremost leaders in the automotive today in India, service the full spectrum of

    automobile sector such as passenger cars, commercial vehicles, tractors, jeep and off highway

    vehicles as well as stationery & marine application. In facilities & services and it is fullygeared to meet the challenges of tomorrow. The product range of Lucas-TVS is

    Solenoid switches Wiper motors Blower motors Power window motor (RM39)

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    1.6 NEED FOR THE STUDY

    Human resource management is an evolving science. The organization which shown more

    concern towards personnel working is found to be most cherished. Employees are endowed

    with skills, knowledge, abilities, values, aptitude etc. they come to organization with all thesevarieties of human resources. Though the job and the organization mostly require employees

    skills and knowledge, it is inevitable to the management to bear and respect the total

    employee. The committed employee is the valuable asset to the company as he contributes

    his maximum skill and knowledge. Further the committed employee is loyal to the company.

    In the process of maintain human relations, the company provides congenial work

    environment to its employees through providing health safety and welfare measures.

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    1.7 SCOPE OF THE STUDY

    Human resources play a crucial role in the development process of modern economics.

    Human resource development has long been recognizing by many developing nations as a

    factor for socio economic emancipation. It is a process that is concerned with theimprovement and growth of the capabilities of individuals and groups within the

    organizations.

    This study is confirmed to the TVS-Lucas limited only. It covered maximum number of

    employees and workers from all the departments. Work environment as the Puducherry is

    considered for research and projected the evolutionary study on Health, Safety and Welfare

    Measures.

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    1.8 OBJECTIVES OF THE STUDY

    The a study on Health safety and welfare measures in the TVS-Lucas limited is having the

    following basic objectives.

    Primary Objectives:To study the health safety and welfare facilities provided to their employees.

    Secondary Objective:

    1. To analysis the extent of health safety and welfare facility in the organization2. To know the satisfactory level of employees health safety and welfare facility 3. To analyze the strength and weakness of health safety and welfare measures4. To suggest the possible measures to overcome the weakness of the organization

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    1.9 LIMITATION OF STUDY

    There are certain limitations in the study of health, safety and welfare measures in TVS-

    Lucas Limited. They are:

    1. Important constraint is the hesitation from the side of employees and workers as they areunwilling to answer questions in the questionnaire.

    2. Since names are mentioned in some of the questionnaire copies, most of the employeesanswered favorably to the company. This might have led to wrong findings in the study.

    3. The major constraint is the method adopted for collecting the data.4. The findings of the study are confined only to the questions asked in the questionnaire.5. Time is important constraint as it was restricted only to a period of 25 days.6. The topic itself is a constraint as human resource management is an evolving concept.7. Only a limited number of respondents are considered for study as the sample size is only 133

    and so it restricts the total respondents of all the workmen and employees regarding health

    and safety measures.

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    2. RESEARCH METHODOLOGY

    The search of knowledge through objective and systematic method of finding solution to a

    problem is called research.

    Research method or techniques, thus refer to the methods the researchers use in performingresearch operations. Research methodology is a way to systematically solve the research

    problem.

    Data Collection:

    For the study regarding health safety and welfare measures in TVS-Lucas limited, both

    primary and secondary sources of data are used.

    Primary Data:Primary data has been collected from the respondents selected for the study.

    Interview have been conducted with the help of a structured questionnaire which consists of

    different questions relating to the health safety and welfare measures provided in the TVS-

    Lucas limited.

    Secondary Data:

    Secondary data has been collected mainly from the records, reports, notes, and accounts etc.which are retained by the company for further requirements. In addition various books and

    journals have been referred.

    2.1 Research Problem

    To know the effect of these measures a study has been done on the provision of the employee

    health safety and welfare measures in TVS-Lucas limited, the puducherry so as to study the

    effectiveness of these measures in building the morale of the employees and increase in the

    productivity of the organization. Statistical tool chi-square test has been taken to measure the

    awareness of employees about varies welfare measures followed by the company.

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    2.2 Source of Data

    There are to sources one is primary source second is indirect source this study was conducted

    with the help of primary data like company account books, journal, direct inter views a

    questioners etc. and secondary sources is newspapers wearies websites and otherpublications.

    2.3 Research Design

    Research design is the arrangement of conditions for collection and analysis of data in a

    manner that aims to combine relevance to the research purpose with economy in procedure.

    Descriptive research design is adapted for the present project out of 400 population 68

    sample were taken end responses were obtained through questionnaire.

    2.4 Tools & Techniques

    Chi square test Two step cluster Anova Disciminant Regressions Correlations Multi discriminant analysis factor analysis One way

    2.5 Sampling Design

    Sampling Unit:

    All the employees and workmen of TVS-Lucas limited, the puducherry constitute the

    sampling unit.

    Sampling Size:

    The sampling size for the study in TVS-Lucas limited is 68

    Sampling Method:

    The method adopted here is the convenient sampling method and pilot method.

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    Questionnaire:

    A structured, close end questionnaire was designed and used for the study.

    Statistical Tools:

    The collected samples are interpreted with the help of statistical tools like mean scoreanalysis.

    Presentations:

    Entire information collected in the form of questionnaire is put forth in the form of tables and

    graphs.

    2.6 Sample SizeSample size is 68 out of total population 400 ware convenient non probability sample

    selection was followed

    1.9.7 Area of Survey

    The survey was conducted at TVS-Lucas limited, pondicherry town where majority of the

    respondents were belongs to rural arias

    2.10 Chapterization

    Chapter: 1

    Need of study, scope of the study, objectives of the study, research methodology, limitations

    of the study, and review of literature consisting industry profile and company profile.

    Chapter: 2

    Review of literaturetheoretical concepts related to research problem

    Chapter: 3

    Data analysis and inference tabulation, graphical representation and inference of collected

    data

    Chapter: 4

    Findings of the study, suggestions and conclusions of the study

    Appendices

    AppendixI Questionnaire

    AppendixII Bibliography

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    THEORETICAL BACKGROUND

    2.1 THEORETICAL BACKGROUND:

    Meaning:

    The Workplace (Health, Safety and Welfare) Regulations 1992 complete a series of six sets

    of health and safety regulations implementing EC Directives, and replace a number of old

    and often excessively detailed laws.

    They cover a wide range of basic health, safety and welfare issues and, unlike the Factories

    Act 1961 and the Offices, Shops and Railway Premises Act 1963, apply to most workplaces

    (except construction sites and some mineral extraction sites).

    This leaflet gives a brief outline of the requirements of the Regulations, and has been

    produced as part of the Health and Safety Commission's commitment under the Review of

    Regulation to produce simple guidance for small firms to cover key areas of risk.

    HEALTH OF WORKERS:

    Section 11 to 20 of the Act deals with the rules relating to health of workers. These rules are

    intended to ensure good working conditions in a factory. This Act requires an employer to

    provides the following facilities in his factory

    .

    Cleanliness: [sec 11]

    Every factory has to be kept clean and free from effluvia arising from any drains, privy or

    other nuisance. The enactment of this section is a sequel to the fact that in a number of

    factories, the manufacturing processes disseminate large amounts of dust, arrangements for

    the diminution of which are frequently defective.

    Disposal of waste and effluents: [sec12]

    Every occupier of a factory shall make effective arrangements for the treatment of wastes and

    effluents due to the manufacturing process carries on the factory so as to render them

    innocuous and for their disposal. Such arrangements should be in accordance with the rules,

    if any, laid down by the state government. If the state government has not laid down any rules

    in this respect, arrangements made by the occupier should be approved by the prescribed

    authority if required, by the state government.

    Ventilation and temperature: [sec 13]

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    Effective and suitable provisions have to be made, for proper ventilation and reasonable

    temperatures, for adequate circulation of fresh air and for reasonable conditions of comfort to

    the workers and also to prevent injury to health

    Dust and fume: [sec 14]

    There are certain manufacturing processes like chemical, textile or jute etc., which generate

    lot of dust, fume or other impurities. It is injurious to the health of workers employed in such

    manufacturing process. Effective measures should be taken to prevent the inhalation and

    accumulation of dust, fumes etc., in the workrooms. Wherever necessary, exhaust appliances

    should be fitted as far as possible, at the point of origin of dust, fumes or other impurities.

    Such points shall also be enclosed as far as possible.

    Artificial humidification: [sec15]

    The State Government may make rules regarding standard of humidification, etc., in factories

    where the humidity in the air is artificially increased. Humidification is employed in India in

    cotton textile mills and in a few cigarette making factories.

    Overcrowding: [sec 16]

    Overcrowding in the work-room not only affects the workers in their efficient discharge of

    duties but their health also has been provided with a view to prohibit overcrowding in the

    work rooms to the extent it is injuries to the health of the workers. Apart from this general

    prohibition, a minimum of working space for each worker, at 14.2 cubic meters of space per

    worker in every workroom is to be provided.

    Lighting: [sec 17]

    Ever factory must provide and maintain sufficient and suitable lighting, natural, or artificial

    or both in the work place or processing place of a factory. All the glazed windows and

    skylight should be kept clean on both sides. Effective provisions should be made for the

    prevention of glare from a source of light or by reflection from a smooth or polished surface.

    Drinking water: [sec 18]

    Every Factory should make effective arrangements for sufficient supply of drinking water for

    all the workers in the factory free from impurities. Water should be supplied at suitable points

    for the convenient of all workers. In case where more than 250 workers are ordinarily

    employed, effective arrangement should be made for cooling of drinking water during hot

    weather.

    Latrines and urinals: [sec 19]

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    Every factory shall make suitable arrangement for the provision of latrines and urinals for the

    workers in the prescribed standards. These should be conveniently situated and accessible to

    all workers during working hours. The floors, walls, sanitary pan, etc., or latrines and urinals

    shall be washed and cleaned with suitable detergents and/or disinfectants, at least once in

    every seven days.

    Spittoons: [sec 20]

    Every factory should have sufficient number of spittoons situated at convenient places. These

    should be maintained in a clean and hygienic condition. The state government is empowered

    to make rules regarding the type and number of spittoons, their location and standard of

    cleanliness.

    SAFETY OF WORKERS:

    Section 21 to 40 of this Act provides a number of provisions to secure a very high standard of

    safety to the workers in a factory. It is an absolute and continuous duty of the occupier of a

    factory to comply with the safety provisions laid down in this Act. Following are the safety

    provisions of the Factories Act.

    Fencing of machinery: [sec 21]

    In every factory every moving part of a prime mover and every fly wheel connected to a

    prime mover shall be securely fenced by safeguards of substantial construction which shall be

    constantly maintained and kept in position while the parts of machinery they are fencing are

    in motion or in use.

    Work on or near in motion: [sec 22]

    The procedure for carrying out examination of any part while it is in motion. In case where

    the examination of machinery, while in motion is necessary, such examination or operation

    shall be carried out only by specially trained male adult worker wearing tight fitting clothes.

    Employment of young persons on dangerous machine:[sec 23]

    No young person shall be required or allowed to work at any machine to which sec.21 applies

    unless he has been fully instructed as to the dangers arising in connection with the machines

    and the precautions to be observed.

    Striking gears and devices for cutting off power: [sec 24]

    In every factory suitable striking gear or other efficient mechanical appliance shall be

    provided and maintained and used to move driving belts to and from fast and loose pulleys

    which form part of the transmission machinery. Suitable devices for cutting off power, in

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    emergencies, from a running machinery shall be provided and maintained in every work-

    room in every factory.

    Self acting machines: [sec 25]

    No traversing part of a self acting machine in any factory and no material carried there onshall, if the space over which it runs is a space over which any persons is liable to pass,

    whether in the course of his employment or otherwise, be allowed to run on its outward or in

    ward traverse within a distance of forty centimeters from any fixed structure which is not part

    of the machine.

    Casing of new machinery: [sec 26]

    All machinery driven by power and installed in any factory after the commencement of the

    Act, every set of screw, bolt or key on any revolving shaft, spindle, wheel or pinion shall be

    so sunk, encased or otherwise effectively guarded as to prevent danger.

    Prohibition of employment of women and children near cotton openers: [sec 27]

    No woman or child shall be employed in any part of a factory for pressing cotton opener is at

    work, unless the feed end of a cotton opener is in a room separated from the delivery end by a

    partition.

    Hoists and lifts: [sec 28]

    Every hoist and lift shall be of good mechanical construction, sound material and adequate

    strength and it shall be properly maintained and shall be thoroughly examined by a competent

    person, once in every six months. The maximum safe working load shall be marked on every

    hoist or lift and no load more than such load capacity shall be carried thereon.

    Lifts, machines, chains, ropes and lifting tackles: [sec 29]

    Every lifting machine (other than a hoist and lift) and every chain, rope and lifting tackle

    shall be of good construction, sound material and adequate strength and free from defects and

    it shall be properly maintained and it shall be thoroughly examined once in 12 months by a

    competent person.

    Revolving machinery: [sec 30]

    In every factory in which the said process of grinding is carried on there shall be permanently

    affixed to or placed near each machine in use a notice indicating the maximum safe working

    peripheral speed of every grindstone or abrasive wheel, the speed of the shaft or spindle upon

    which the wheel is mounted and the diameter of the pulley upon such shaft of spindle

    necessary to secure such safe working peripheral speed.

    Pressure plant: [sec31]

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    In any factory, any plant and machinery or any part thereof is operated at a pressure above

    atmospheric pressure, effective measures shall be taken to ensure that the safe working

    pressure of such plant or machinery or part is not exceeded.

    Floors stairs and means of access: [sec 32]

    In a factory all floors, steps, passages and gangways shall be of sound construction and

    properly maintained and shall be kept free from obstructions and substances likely to cause

    persons to slip and if necessary handrails may be provided.

    Pits, sumps, opening in floors: [sec 33]

    In every factory fixed vessel, sump, tank, pit or opening in the ground or in a floor which by

    reasons of its depth situation construction or contents is or may be source of danger, shall be

    either securely covered or securely fenced.

    Excessive weights: [sec 34]

    No person shall be employed in any factory to lift, carry or move any load so heavy as to be

    likely to cause him injury.

    Protection of eyes: [sec35]

    If in a factory where the manufacturing process involves risk of injury to the eyes from

    particles of fragments thrown off in the course of the process or risk to the eyes by reason of

    exposure to excessive light then effective screen or goggles may be provided to the protection

    of the workers.

    Precaution against dangerous fumes, gases, etc: [sec 36]

    No person shall be required or allowed to enter any chamber, tank or vat, pit, pipe flue or

    other confined space in any factory in which any gas, fume, vapour or dust is likely to be

    present to such an extent as to involve risk to persons being overcome thereby, unless it is

    provided with a manhole of adequate size or other effective means of egress.

    Precautions in case of fire: [sec 37]

    In every factory all practical measures shall be taken to prevent outbreak of fire, and its

    spread, both internally and externally and to provide and maintain safety measures like

    equipments for fire extinguishing devices and to have emergency exists.

    Safety of buildings and machinery: [sec 38]

    If it appears to the Inspector that any buildings or part of a building or any part of the ways,

    machinery or plant in a factory is in such a condition that it is dangerous to human life or

    safety then the occupier or manager or both may by order in writing specify the measures to

    be taken and if necessary prohibit the use until it has been properly repaired or altered.

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    Maintenance of buildings: [sec 39]

    If it appears to the Inspector that any buildings or part of a building is detrimental to the

    health and welfare of the workers, he may serve on the occupier or manager or both of the

    factory an order regarding the remedial measures.

    Safety officers: [sec 40]

    In every factory wherein one thousand or more workers are ordinarily employed the occupier

    shall, if so required by the state government by notification in the official Gazette, employ

    such number of Safety Officers as may be specified on the notification.

    WELFARE MEASURES:

    Washing Facilities:

    In every factory adequate facilities for washing shall be provided and maintained for the use

    of the workers. Separately and adequately screened facilities shall be provided for the use of

    male and female workers.

    Facilities for storing and drying facilities:

    The State Government shall make rules in respect of a factory or class or description of

    factories requiring the provision therein of suitable places for keeping clothing not worn

    during working hours and for the drying of wet clothing.Facilities for sitting:

    In every factory suitable arrangements for sitting shall be provided and maintained for all

    workers obliged to work in a standing position, in order that they take advantage of any

    opportunities for rest which may occur in the course of the work.

    First aid appliances:

    Every factory shall maintain and provide one first aid box with prescribed contents for every

    150 workers and it shall be in charge of a responsible person who holds a certificate in firstaid treatment, recognized by State Government.

    Canteen:

    The State Government may make rules requiring that in any specified factory wherein two

    hundred and fifty workers are ordinarily employed, a canteen or canteens shall be provided

    and maintained by the occupier for the use of the workers.

    Shelters rest rooms and lunch rooms:

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    In every factory wherein more than one hundred and fifty workers are ordinarily employed,

    adequate and suitable shelters or rest rooms and a suitable lunch room with provision for

    drinking water, where workers can eat meals brought by them.

    Crches:

    In every factory where more than thirty women are ordinarily employed there shall be

    provided and maintained a suitable room or rooms for the use of children under the age of six

    years of such women.

    Welfare Officers:

    In every factory wherein five hundred or more workers are ordinarily employed the occupier

    shall employ in the factory such number of Welfare Officers as may be prescribed.

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    3. LITERATURE REVIEW

    Introduction

    A proper definition and cut explanation of the concepts used in this study will help in better

    understanding of the discussion carried on. Concept is a word or phrase which symbolizes

    the phenomenon and helps to communicate the findings. It is a fertilization of an idea. It is

    abstracted from the sense of perception. Therefore, before proceeding with the actual analysis

    and discussion of the problems, some of the concepts used in this study are clearly defined.

    To have a better understanding of the present study in its proper perspective, we must know

    what has already been done in the field. Thus after selections of the topic, all relevant

    material have been reviewed by the researcher. A review of such studies has been presented

    below.Ashok Kumar, (1989) the researcher conducted a study on the attitude of the workers on

    labour welfares, especially the canteen facilities in Cethar vessels limited, tiruchirappalli.

    The main objective of the study was, to know the welfare measure provided by the industry

    and to know the family structure of the workers. He found that the workers are not satisfied

    with the welfare measures provided in the industry especially the canteen facilities should be

    improved.

    Nilzvazhagan.k, (1991) the researcher conducted a study on the profile of employee welfaremeasures at trichy distilleries and chemicals (p) ltd, senthaneerpuram. Triuchirappalli.

    The objectives of the study was to know the statutory and non statutory welfare measures

    provided in the industry, and to know the opinion of the employees, he was also inter elated

    to know the other the other benefits. Which the company provides, he found out that the

    company provided maximum facilities however suggestion was made to improve the rest

    room, proper recreational facilities and to provides leave concession facilities to the

    employees along with other facility already available.

    Ravi Kumar (1993) the researcher conducted a study on the economic conditions and labour

    welfare in tan-tea gundalur, niligris district. The objectives of the study was to know the

    opinion of tan-tea workers about labour welfare, economic conditions income and

    expenditure pattern of the tan-tea workers and inter personal relationship, that is prevailing in

    v. After doing his researcher found that good relationship prevails in tan-tea among the

    workers. Majority of the workers are satisfied with the work, but they are not satisfied with

    the wages. Workers are not satisfied with the medical facilities. He has suggested improving

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    the medical facilities in the tan-tea he also suggested that the wage structure also to be

    improved.

    Robinson e (1994) the researcher conducted a study on labour welfare measures provided by

    bhel trichy with objectives to analyze and interpret on welfare measures. The finding of the

    study was the workers are satisfied with canteen facility safety equipment facilities provided

    by bhel all the employees have been extended with hospital facilities. He suggested that there

    be some improvement of housing and transport facilities.

    Ramathunisha (1995) has conducted research on a study on working conditions and labour

    welfare measures in bharat heavy electrical limited, tiruchirappalli. The objective of the study

    was to know the various measures provided by bharat heavy electrical limited. And find out

    the adequacy of welfare measures provided by the employee from the employees point of

    view and to suggest ways and means to improve the working conditions and welfare

    facilities. The researcher has found out that in all categories, majority of workers are satisfied

    with the provision. The researcher has failed to give suggestions where in which she has

    mentioned in her objective of the study.

    Perumal.a, (1996) the researcher conducted a on a study on labour welfare measures in

    Indian railways with reference to southern railway at ponnmalai workshop, tiruchirappalli.

    With the objective to study the welfare measures in central workshop he found that the

    welfare measures provided were satisfactory. He suggested that the trade union must take

    steps improving the recreational facilities and problems in specific areas like canteen and

    hospital facilities.

    Prasanna venkatesan (1999) the researcher conducted a study on attitudes of workers welfare

    measure provided in tvs iyendat & sons ltd, tiruchirappalli. Labour is one of the basic

    resources play a significant role in the socio-economic development of the country.

    More welfare facilities and good working condition will make the worker feel at home

    therefore, they can concentrate more on their work by increasing productivity the workers can

    get more wages and at the same time the management may get more profit out of it the

    overall opinion is a sense of satisfaction among the workers about the safety facility

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    CHAPTER-IV

    4.DATA ANALYSIS & INTERPRETATION

    4.1 DATA ANALYSISTable 4.1

    Age

    Age

    Frequency Percent Valid Percent Cumulative Percent

    Valid

    16 to 19 11 16.2 16.2 16.2

    20 to 23 45 66.2 66.2 82.4

    24 to 27 6 8.8 8.8 91.2

    27 above 6 8.8 8.8 100.0

    Total 68 100.0 100.0

    Chart 4.1

    Inference

    From the above table it is inferred that 66.2% of the respondents belongs to the age of 20 to23 and 16% respondents belongs to the age of 16 to 19.

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    Table 4.2

    Gender

    Gender

    Frequency Percent Valid Percent Cumulative Percent

    Valid

    Male 18 26.5 26.5 26.5

    Female 50 73.5 73.5 100.0

    Total 68 100.0 100.0

    Chart 4.2

    Inference

    From the above table it is inferred that 73.5 % of the respondents are Female and 26.5%respondents are Male.

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    Table 4.3

    Educational Qualification

    Educational Qualification

    Frequency Percent Valid Percent Cumulative Percent

    Valid

    12th 18 26.5 26.5 26.5

    Diploma 36 52.9 52.9 79.4

    BE 2 2.9 2.9 82.4

    B.Com 2 2.9 2.9 85.3

    BBA 2 2.9 2.9 88.2

    ITT 4 5.9 5.9 94.1

    M.Com 2 2.9 2.9 97.1

    MBA 1 1.5 1.5 98.5

    BCA 1 1.5 1.5 100.0

    Total 68 100.0 100.0

    Chart 4.3

    Inference

    From the above table it is inferred that 52.9% of the respondents educational qualification isDiploma and 26.5% respondents qualifications is 12 th.

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    Table 4.4

    Designation

    Designation

    Frequency Percent Valid PercentCumulative

    Percent

    Valid

    Engineer 10 14.7 14.7 14.7

    Operator 20 29.4 29.4 44.1

    Technical 3 4.4 4.4 48.5

    Short term trainee 34 50.0 50.0 98.5

    Account assistance 1 1.5 1.5 100.0

    Total 68 100.0 100.0

    Chart 4.4

    Inference

    From the above table it is inferred that 50% of the respondents belongs to Short term trainee

    and 29.4% respondents belongs to Operators

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    Table 4.5

    Income

    Income

    Frequency Percent Valid PercentCumulative

    Percent

    Valid

    3000 to 10000 58 85.3 85.3 85.3

    10001 to 17000 2 2.9 2.9 88.2

    17001 to 24000 5 7.4 7.4 95.6

    24000 above 3 4.4 4.4 100.0

    Total 68 100.0 100.0

    Chart 4.5

    Inference

    From the above table it is inferred that 85.3% of the respondents income level is Rs 3000 to

    Rs 10000 and 7.4% respondents income level is Rs 17001 to Rs 24000

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    Table 4.6

    Marital status

    Marital status

    Frequency Percent Valid Percent Cumulative Percent

    Valid

    Married 7 10.3 10.3 10.3

    Single 61 89.7 89.7 100.0

    Total 68 100.0 100.0

    Chart 4.6

    Inference

    From the above table it is inferred that 89.7% of the respondents are Single and 10.3%respondents are Married.

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    Table 4.7

    Age Vs Safety Policy, Safety & health recorders, Training levels, Safety & Health Duties

    Report

    Age Safety Policy Safety and healthrecorders Training levels Safety and HealthDuties

    16 to 19

    Mean 4.64 4.64 4.91 4.55

    N 11 11 11 11

    Std. Deviation .924 .505 .302 .688

    20 to 23

    Mean 4.51 4.33 4.20 4.11

    N 45 45 45 45

    Std. Deviation .661 .739 .944 1.027

    24 to 27

    Mean 4.33 3.83 3.67 4.50

    N 6 6 6 6

    Std. Deviation .516 .753 .816 .548

    27 above

    Mean 4.83 4.83 4.83 5.00

    N 6 6 6 6

    Std. Deviation .408 .408 .408 .000

    Total

    Mean 4.54 4.38 4.32 4.29

    N 68 68 68 68

    Std. Deviation .679 .713 .888 .931

    Chart4.7

    Inference

    From the above table it is inferred that most of the respondents are agree with safety and healthrecorders, Training levels & Safety and health duties, and they are strongly agree with Safety Policy

    0

    1

    2

    3

    4

    5

    6

    16 to 19 20 to23 24 to 27 Above 27 Total

    Safety Policy

    Safety and health

    recorders

    Training levels

    Safety and Health Duties

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    Inference

    From the above table it is inferred that most of the respondents are agree with Tool-boxbriefings & safety checks, Safety committee, Safety aspects in site planning & layout andTraining.

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    Table 4.9

    Age Vs Traffic Control System, Facilities for preparing & eating food, Sufficient &

    suitable washing facility, Enough training can be given

    Report

    Age Traffic control systemFacilities for preparing

    and eating foodSufficient and suitable

    washing facilityEnough training can be

    given

    16 to 19

    Mean 4.55 4.55 4.64 4.45

    N 11 11 11 11

    Std. Deviation 1.036 .934 1.206 .688

    20 to 23

    Mean 4.29 4.13 4.40 4.09

    N 45 45 45 45

    Std. Deviation .843 1.140 .837 .793

    24 to 27

    Mean 4.00 4.33 3.83 4.00

    N 6 6 6 6

    Std. Deviation 1.095 .516 .408 .632

    27 above

    Mean 4.50 4.17 3.67 4.17

    N 6 6 6 6

    Std. Deviation .837 .753 1.506 .753

    Total

    Mean 4.32 4.22 4.32 4.15

    N 68 68 68 68

    Std. Deviation .888 1.034 .969 .758

    Chart 4.9

    Inference:It is inferred that most of the respondents are agree with TCS, Facilities for preparing &eating food, Sufficient, suitable washing facility & enough training can be given.

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    5

    16 to 19 20 to23 24 to 27 Above 27 Total

    Traffic control system

    Facilities for preparing

    and eating food

    Sufficient and suitable

    washing facility

    Enough training can be

    given

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    Table 4.10

    Age Vs Drinking Water, Escape routes in case of fire, Smoking is prohibited,

    Mechanical power

    Report

    Age Drinking WaterEscape routes in case of

    fireSmoking is prohibited Mechanical power

    16 to 19

    Mean 4.82 4.64 4.55 4.64

    N 11 11 11 11

    Std. Deviation .405 .924 1.214 .924

    20 to 23

    Mean 4.36 4.67 4.29 4.60

    N 45 45 45 45

    Std. Deviation 1.004 .564 1.079 .580

    24 to 27

    Mean 4.33 4.50 4.00 4.17

    N 6 6 6 6

    Std. Deviation .516 .548 .632 .753

    27 above

    Mean 5.00 4.83 4.33 4.83

    N 6 6 6 6

    Std. Deviation .000 .408 .516 .408

    Total

    Mean 4.49 4.66 4.31 4.59

    N 68 68 68 68

    Std. Deviation .872 .614 1.026 .652

    Chart 4.10

    InferenceIt is inferred that most of the respondents are agree with Drinking water and Smoking.

    0

    1

    2

    3

    4

    5

    6

    16 to 19 20 to23 24 to 27 Above 27 Total

    Drinking Water

    Smoking is probited

    Mechanical power

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    Table 4.11

    Age Vs Sitting position, Material, tools and teeth of cutting tools, , Hand tools, Hammer,

    chisels

    Report

    Age Sitting position Material, tools and teeth of cutting tools Hand tools Hammer, chisels

    16 to 19

    Mean 3.82 4.55 4.45 4.64

    N 11 11 11 11

    Std. Deviation 1.537 1.214 .934 .674

    20 to 23

    Mean 3.51 3.89 4.18 3.98

    N 45 45 45 45

    Std. Deviation 1.236 1.210 .747 1.011

    24 to 27

    Mean 3.50 4.00 4.17 3.67

    N 6 6 6 6

    Std. Deviation 1.225 .894 .753 1.033

    27 above

    Mean 3.67 3.83 4.33 4.17

    N 6 6 6 6

    Std. Deviation 1.033 .983 .816 .753

    Total

    Mean 3.57 4.00 4.24 4.07

    N 68 68 68 68

    Std. Deviation 1.250 1.172 .775 .967

    Chart 4.11

    Inference

    From the above table it is inferred that most of the respondents are agree with Sittingposition, Material, tools and teeth of cutting tools, Hand tools and Hammer, chisel

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    5

    16 to 19 20 to23 24 to 27 Above 27 Total

    Sitting position

    Material, tools and teeth

    of cutting tools

    Hand tools

    Hammer, chisels

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    Table 4.12

    Age vs Edges are teeth of cutting, First aid box, Precautionary indication, Safety items

    Report

    Age Edges are teeth of cutting First aid box Precautionary indication Safety items

    16 to 19

    Mean 4.36 4.91 4.73 4.45

    N 11 11 11 11

    Std. Deviation 1.206 .302 .647 1.293

    20 to 23

    Mean 3.78 4.49 4.38 4.07

    N 45 45 45 45

    Std. Deviation 1.146 .787 .834 1.009

    24 to 27

    Mean 3.67 4.50 4.17 3.83

    N 6 6 6 6

    Std. Deviation .816 .548 .408 .753

    27 above

    Mean 3.83 4.50 4.67 4.50

    N 6 6 6 6

    Std. Deviation .408 .837 .816 .837

    Total

    Mean 3.87 4.56 4.44 4.15

    N 68 68 68 68

    Std. Deviation 1.091 .720 .780 1.026

    Chart 4.12

    InferenceIt is inferred that most of the respondents are agree with Edges are teeth of cutting,

    precautionary indication and Safety, and some of the respondents are strongly agree withFirst aid box

    0

    1

    2

    3

    4

    5

    6

    16 to 19 20 to23 24 to 27 Above 27 Total

    Edges are teeth of cutting

    First aid box

    Precautionary indication

    Safety items

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    Table 4.13

    Age vs Ventilation facilities, Artificial humidification and Medical facility

    Report

    Age Ventilation facilities Artificial humidification Medical facility

    16 to 19

    Mean 4.64 4.91 4.64

    N 11 11 11

    Std. Deviation .505 .302 .924

    20 to 23

    Mean 3.96 4.44 4.07

    N 45 45 45

    Std. Deviation 1.021 .725 1.031

    24 to 27

    Mean 4.17 3.67 3.83

    N 6 6 6

    Std. Deviation 1.169 1.033 1.472

    27 above

    Mean 4.83 4.33 4.67

    N 6 6 6

    Std. Deviation .408 .816 .516

    Total

    Mean 4.16 4.44 4.19

    N 68 68 68

    Std. Deviation .971 .761 1.040

    Chart 4.13

    Inference

    From the above table it is inferred that most of the respondents are agree with Ventilationfacilities, Artificial humidification and Medical facility.

    0

    1

    2

    3

    4

    5

    6

    16 to 19 20 to23 24 to 27 Above 27 Total

    Ventilation facilities

    Artificial humidification

    Medical facility

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    Table 4.14

    Gender vs Safety Policy, Safety and health recorders, Training levels and safety and

    Health Duties

    Report

    Gender Safety PolicySafety and

    health recordersTraining levels

    Safety andHealth Duties

    Male

    Mean 4.50 4.28 4.06 4.22

    N 18 18 18 18

    Std. Deviation .618 .826 1.162 1.166

    Female

    Mean 4.56 4.42 4.42 4.32

    N 50 50 50 50

    Std. Deviation .705 .673 .758 .844

    Total

    Mean 4.54 4.38 4.32 4.29

    N 68 68 68 68

    Std. Deviation .679 .713 .888 .931

    Chart 4.14

    Inference

    From the above table it is inferred that most of the respondents are agree with Safety andhealth recorders, Training levels and safety and health duties, and some of the respondents

    are strongly agree with Safety Policy.

    3.8

    3.9

    4

    4.1

    4.2

    4.3

    4.4

    4.5

    4.6

    Male Female Total

    Safety Policy

    Safety and health

    recorders

    Training levels

    Safety and Health Duties

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    Table 4.15

    Gender vs Tool-box briefings and safety checks, Safety committee, Safety aspects in site

    planning and layout and Training

    Report

    GenderTool-box

    briefings andsafety checks

    Safety committeeSafety aspects insite planning and

    layoutTraining

    Male

    Mean 4.33 4.39 4.50 4.17

    N 18 18 18 18

    Std. Deviation .594 .850 .618 .857

    Female

    Mean 4.08 4.22 4.24 4.18

    N 50 50 50 50

    Std. Deviation 1.226 .790 .822 .850

    Total

    Mean 4.15 4.26 4.31 4.18

    N 68 68 68 68

    Std. Deviation 1.096 .803 .778 .845

    Chart 4.15

    Inference

    From the above table it is inferred that most of the respondents are agree with Tool-box

    briefings and safety checks, Safety committee, Safety aspects in site planning and layout andTraining.

    3.8

    3.9

    4

    4.1

    4.2

    4.3

    4.4

    4.5

    4.6

    Male Female Total

    Tool-box briefings and

    safety checks

    Safety committee

    Safety aspects in siteplanning and layout

    Training

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    Table 4.16

    Gender vs Traffic control system, Facilities for preparing and eating food, Sufficient

    and suitable washing facility and enough training can be given

    Report

    GenderTraffic control

    system

    Facilities forpreparing andeating food

    Sufficient andsuitable

    washing facility

    Enough trainingcan be given

    Male

    Mean 4.50 3.94 4.17 4.17

    N 18 18 18 18

    Std. Deviation .857 1.211 1.043 .707

    Female

    Mean 4.26 4.32 4.38 4.14

    N 50 50 50 50

    Std. Deviation .899 .957 .945 .783

    Total

    Mean 4.32 4.22 4.32 4.15

    N 68 68 68 68

    Std. Deviation .888 1.034 .969 .758

    Chart 4.16

    Inference

    From the above table it is inferred that most of the respondents are agree with Traffic control

    system, Facilities for preparing and eating food, Sufficient and suitable washing facility andenough training can be given

    3.6

    3.7

    3.8

    3.9

    4

    4.1

    4.2

    4.3

    4.4

    4.5

    4.6

    Male Female Total

    Traffic control system

    Facilities for preparing

    and eating food

    Sufficient and suitable

    washing facility

    Enough training can be

    given

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    Table 4.17

    Gender vs Drinking Water, Escape routes in case of fire, Smoking is prohibited and

    Mechanical power

    Report

    Gender Drinking WaterEscape routes in

    case of fireSmoking isprohibited

    Mechanicalpower

    Male

    Mean 4.83 4.72 4.22 4.67

    N 18 18 18 18

    Std. Deviation .383 .461 .808 .594

    Female

    Mean 4.36 4.64 4.34 4.56

    N 50 50 50 50

    Std. Deviation .964 .663 1.099 .675

    Total

    Mean 4.49 4.66 4.31 4.59

    N 68 68 68 68

    Std. Deviation .872 .614 1.026 .652

    Chart 4.17

    Inference

    From the above table it is inferred that most of the respondents are agree with Drinking waterand Smoking is prohibited, and some of the respondents are strongly agree with Escaperoutes in case of fire and Mechanical.

    3.9

    4

    4.1

    4.2

    4.3

    4.4

    4.5

    4.6

    4.7

    4.8

    4.9

    Male Female Total

    Drinking Water

    Escape routes in case of

    fire

    Smoking is probited

    Mechanical power

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    Table 4.18

    Gender vs Sitting position, Material, tools and teeth of cutting tools, Hand tools and

    Hammer, chisels

    Report

    Gender Sitting positionMaterial, tools

    and teeth ofcutting tools

    Hand tools Hammer, chisels

    Male

    Mean 3.67 3.94 4.17 4.00

    N 18 18 18 18

    Std. Deviation 1.085 .873 .618 1.188

    Female

    Mean 3.54 4.02 4.26 4.10

    N 50 50 50 50

    Std. Deviation 1.313 1.270 .828 .886

    Total

    Mean 3.57 4.00 4.24 4.07

    N 68 68 68 68

    Std. Deviation 1.250 1.172 .775 .967

    Chart 4.18

    Inference

    From the above table it is inferred that most of the respondents are agree with Sittingposition, Material, tools and teeth of cutting tools, Hand tools and Hammer, chisels.

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    4

    4.5

    Male Female Total

    Sitting position

    Material, tools and teeth

    of cutting tools

    Hand tools

    Hammer, chisels

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    Table 4.19

    Gender vs Edges are teeth of cutting, First aid box, Precautionary indication and Safety

    items

    Report

    GenderEdges are teeth

    of cuttingFirst aid box

    Precautionaryindication

    Safety items

    Male

    Mean 3.83 4.50 4.39 4.11

    N 18 18 18 18

    Std. Deviation .857 .618 .850 .963

    Female

    Mean 3.88 4.58 4.46 4.16

    N 50 50 50 50

    Std. Deviation 1.172 .758 .762 1.057

    Total

    Mean 3.87 4.56 4.44 4.15

    N 68 68 68 68

    Std. Deviation 1.091 .720 .780 1.026

    Chart 4.19

    Inference

    From the above table it is inferred that most of the respondents are agree with Edges are teethof cutting, precautionary indication and Safety items, and some of the respondents arestrongly agree with First aid box.

    3.4

    3.6

    3.8

    4

    4.2

    4.4

    4.6

    4.8

    Male Female Total

    Edges are teeth of cutting

    First aid box

    Precautionary indication

    Safety items

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    Table 4.20

    Gender vs Ventilation facilities, Artificial humidification and Medical facility

    Report

    Gender Ventilationfacilities

    Artificialhumidification

    Medical facility

    Male

    Mean 4.28 4.28 4.33

    N 18 18 18

    Std. Deviation 1.018 .895 1.138

    Female

    Mean 4.12 4.50 4.14

    N 50 50 50

    Std. Deviation .961 .707 1.010

    Total

    Mean 4.16 4.44 4.19

    N 68 68 68

    Std. Deviation .971 .761 1.040

    Chart 4.20

    Inference

    From the above table it is inferred that most of the respondents are agree with Ventilationfacilities, artificial humidification and Medical facility.

    3.9

    4

    4.1

    4.2

    4.3

    4.4

    4.5

    4.6

    Male Female Total

    Ventilation facilities

    Artificial humidification

    Medical facility

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    Table 4.21

    Duration of the periodic medical checkup provided

    Duration of the periodic medical checkup provided

    Frequency Percent Valid Percent CumulativePercent

    Valid

    On monthly basis 45 66.2 66.2 66.2

    Once in 3 months 8 11.8 11.8 77.9

    Once in a year 15 22.1 22.1 100.0

    Total 68 100.0 100.0

    Chart 4.21

    Inference

    From the above table it is inferred that 66.2% of the respondents says Duration of theperiodic medical checkup provided on monthly basis and 22.1% respondents says once ayear.

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    Table 4.22

    Satisfied with the working environment

    Satisfied with the working environment

    Frequency Percent Valid Percent Cumulative Percent

    Valid

    Yes 65 95.6 95.6 95.6

    No 3 4.4 4.4 100.0

    Total 68 100.0 100.0

    Chart 4.22

    Inference

    From the above table it is inferred that 95.6% of the respondents Satisfied with the workingenvironment and 4.4% respondents not Satisfied.

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    4.2 STATISTICAL TEST AND INTERPRETATION

    TOOL-1

    ANOVAAim: To find whether the mean score of Gender are same on Safety committee, Safety and

    Health Duties, Tool-box briefings and safety checks

    H0: The mean score of Gender are same on Safety committee, Safety and Health Duties,

    Tool-box briefings and safety checks

    H1: The mean score of Gender are not same on Safety committee, Safety and Health Duties,

    Tool-box briefings and safety checks

    ANOVA

    Model Sum of Squares Df Mean Square F Sig.

    1

    Regression .475 3 .158 .794 .502a

    Residual 12.760 64 .199

    Total 13.235 67

    a. Predictors: (Constant), Safety committee, Safety and Health Duties, Tool-box briefings and

    safety checks

    b. Dependent Variable: Gender

    Calculated value =2.748

    Degree of freedom=3, 64

    Tabulated value is 0.794 from 5% significance level of f test

    Tabulated value < calculated value

    Result:

    The calculated value is greater than the tabulated value so we reject the null hypothesis. So it

    is concluded the Gender are not same on Safety committee, Safety and Health Duties, Tool-

    box briefings and safety checks

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    TOOL-2

    REGRESSION

    Aim: To find whether the model designed with Age and Drinking Water, Facilities for

    preparing and eating food, Sufficient and suitable washing facility

    HO: The Mean score of Age on Drinking Water, Facilities for preparing and eating food,

    Sufficient and suitable washing facility is equal

    H1: The Mean score of Age on Drinking Water, Facilities for preparing and eating food,

    Sufficient and suitable washing facility is unequal

    Model Summary

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .326a .107 .065 .750

    Model Summary

    ModelChange Statistics

    R Square Change F Change df1 df2 Sig. F Change

    1 .107 2.544 3 64 .064

    a. Predictors: (Constant), Drinking Water, Facilities for preparing and eating food, Sufficient and

    suitable washing facility

    b. Dependent Variable: Age

    ANOVA

    Model Sum of Squares Df Mean Square F Sig.

    1

    Regression 4.291 3 1.430 2.544 .064a

    Residual 35.988 64 .562

    Total 40.279 67

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    ANOVA

    Model Sum of Squares Df Mean Square F Sig.

    1

    Regression 4.291 3 1.430 2.544 .064a

    Residual 35.988 64 .562

    Total 40.279 67

    a. Predictors: (Constant), Drinking Water, Facilities for preparing and eating food, Sufficient

    and suitable washing facility

    b. Dependent Variable: Age

    Coefficientsa

    ModelStandardized Coefficients

    t Sig.

    Beta

    1

    (Constant) 4.339 .000

    Facilities for preparing and eating food .056 .437 .663

    Sufficient and suitable washing facility -.368 -2.677 .009

    Drinking Water .165 1.294 .200

    Coefficientsa

    ModelUnstandardized Coefficients

    B Std. Error

    1

    (Constant) 2.541 .586

    Facilities for preparing and eating food .042 .097

    Sufficient and suitable washing facility -.295 .110

    Drinking Water .147 .113

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    Coefficientsa

    Model

    95.0% Confidence Interval for B

    Lower Bound Upper Bound

    1 (Constant) 1.371 3.711

    Facilities for preparing and eating food -.151 .236

    Sufficient and suitable washing facility -.515 -.075

    Drinking Water -.080 .373

    a. Dependent Variable: Age

    Residuals Statisticsa

    Minimum Maximum Mean Std. Deviation N

    Predicted Value 1.70 3.11 2.10 .253 68

    Std. Predicted Value -1.602 3.966 .000 1.000 68

    Standard Error of Predicted Value .105 .411 .164 .079 68

    Adjusted Predicted Value 1.57 3.43 2.10 .283 68

    Residual -1.918 2.030 .000 .733 68

    Std. Residual -2.557 2.708 .000 .977 68

    Stud. Residual -2.878 2.747 .000 1.011 68

    Deleted Residual -2.428 2.089 .000 .787 68

    Stud. Deleted Residual -3.060 2.902 .004 1.040 68

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    Mahal. Distance .334 19.167 2.956 4.512 68

    Cook's Distance .000 .551 .020 .070 68

    Centered Leverage Value .005 .286 .044 .067 68

    a. Dependent Variable: Age

    Interpretation:

    The adjusted r2 value is 0.107 which means only 10% variation between the variables

    ventilation and temperature.

    Calculated value =2.748

    Degree of freedom=3, 64

    Tabulated value is 2.544

    Tabulated value

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    TOOLS 3

    REGRESSION

    Aim: To find whether the model designed with Gender and Smoking is prohibited, Escape

    routes in case of fire

    HO: The Mean score of Gender on Smoking is prohibited, Escape routes in case of fire is

    equal

    H1: The Mean score of Gender on Smoking is prohibited, Escape routes in case of fire is

    unequal

    Model Summaryb

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .160a .026 -.004 .445

    Model Summaryb

    ModelChange Statistics

    R Square Change F Change df1 df2 Sig. F Change

    1 .026 .855 2 65 .430

    a. Predictors: (Constant), Smoking is prohibited, Escape routes in case of fire

    b. Dependent Variable: Gender

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1Regression .339 2 .170 .855 .430a

    Residual 12.896 65 .198

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    Total 13.235 67

    a. Predictors: (Constant), Smoking is prohibited, Escape routes in case of fire

    b. Dependent Variable: Gender

    Coefficientsa

    ModelUnstandardized Coefficients

    B Std. Error

    1

    (Constant) 2.098 .438

    Escape routes in case of fire -.170 .137

    Smoking is prohibited .099 .082

    Coefficientsa

    ModelStandardized Coefficients

    t Sig.Beta

    1

    (Constant) 4.793 .000

    Escape routes in case of fire -.234 -1.239 .220

    Smoking is prohibited .229 1.214 .229

    Coefficientsa

    Model 95.0% Confidence Interval for B

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    Lower Bound Upper Bound

    1

    (Constant) 1.224 2.972

    Escape routes in case of fire -.443 .104

    Smoking is probited -.064 .263

    a. Dependent Variable: Gender

    Residuals Statisticsa

    Minimum Maximum Mean Std. Deviation N

    Predicted Value 1.45 1.92 1.74 .071 68

    Std. Predicted Value -4.027 2.541 .000 1.000 68

    Standard Error of Predicted Value .065 .242 .086 .037 68

    Adjusted Predicted Value 1.24 1.91 1.73 .087 68

    Residual -.817 .551 .000 .439 68

    Std. Residual -1.834 1.238 .000 .985 68

    Stud. Residual -1.873 1.451 .004 1.008 68

    Deleted Residual -.852 .758 .004 .460 68

    Stud. Deleted Residual -1.911 1.464 -.003 1.017 68

    Mahal. Distance .457 18.836 1.971 3.464 68

    Cook's Distance .002 .263 .017 .034 68

    Centered Leverage Value .007 .281 .029 .052 68

    a. Dependent Variable: Gender

    Interpretation:

    The adjusted r2 value is 0.026 which means only 2.6% variation between the variablesventilation and temperature.

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    Calculated value =0.855

    Degree of freedom=2, 65

    Tabulated value is 3.138

    Tabulated value >calculated value

    Result:

    The calculated value is less than the tabulated value so we accept the null hypothesis. So it is

    concluded The Mean score of Gender on Smoking is prohibited, Escape routes in case of fire

    is equal.

    TOOLS-4

    REGRESSION

    Aim: To find whether the model designed with Gender and Material, tools and teeth of

    cutting tools, Mechanical power, sitting position.

    HO: The Mean score of Gender on Material, tools and teeth of cutting tools, Mechanical

    power, sitting position is equal

    H1: The Mean score of Gender on Material, tools and teeth of cutting tools, Mechanical

    power, sitting position is unequal

    Model Summaryb

    Model R R Square Adjusted R Square Std. Error of the Estimate

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    Model Summaryb

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .114a .013 -.033 .452

    Model Summaryb

    ModelChange Statistics

    R Square Change F Change df1 df2 Sig. F Change

    1 .013 .279 3 64 .840

    a. Predictors: (Constant), Material, tools and teeth of cutting tools, Mechanical power , Sitting

    position

    b. Dependent Variable: Gender

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1

    Regression .171 3 .057 .279 .840a

    Residual 13.064 64 .204

    Total 13.235 67

    a. Predictors: (Constant), Material, tools and teeth of cutting tools, Mechanical power , Sitting

    position

    b. Dependent Variable: Gender

    Coefficientsa

    Model Unstandardized Coefficients

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    B Std. Error

    1

    (Constant) 1.995 .411

    Mechanical power -.067 .091

    Sitting position -.025 .048

    Material, tools and teeth of cutting tools .034 .054

    Coefficientsa

    ModelStandardized Coefficients

    t Sig.Beta

    1

    (Constant) 4.852 .000

    Mechanical power -.098 -.738 .463

    Sitting position -.071 -.527 .600

    Material, tools and teeth of cutting tools .091 .632 .530

    Coefficientsa

    Model95.0% Confidence Interval for B

    Lower Bound Upper Bound

    1

    (Constant) 1.173 2.816

    Mechanical power -.248 .114

    Sitting position -.121 .071

    Material, tools and teeth of cutting tools -.074 .143

    a. Dependent Variable: Gender

    Residuals Statisticsa

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    Minimum Maximum Mean Std. Deviation N

    Predicted Value 1.62 1.85 1.74 .051 68

    Std. Predicted Value -2.299 2.245 .000 1.000 68

    Standard Error of Predicted Value .070 .237 .104 .034 68

    Adjusted Predicted Value 1.55 1.96 1.73 .061 68

    Residual -.847 .381 .000 .442 68

    Std. Residual -1.874 .843 .000 .977 68

    Stud. Residual -2.001 .919 .004 1.004 68

    Deleted Residual -.965 .453 .004 .466 68

    Stud. Deleted Residual -2.050 .918 -.004 1.013 68

    Mahal. Distance .619 17.480 2.956 2.944 68

    Cook's Distance .002 .139 .014 .020 68

    Centered Leverage Value .009 .261 .044 .044 68

    a. Dependent Variable: Gender

    Interpretation:

    The adjusted r2 value is 0.013 which means only 1.3% variation between the variables

    ventilation and temperature.

    Calculated value =0.279

    Degree of freedom= 3, 64

    Tabulated value is 2.748

    Tabulated value calculated value

    Result:

    The calculated value is less than the tabulated value so we accept the null hypothesis. So it is

    concluded The Mean score of Gender on Material, tools and teeth of cutting tools,Mechanical power, sitting position is equal.

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    TOOLS -5

    REGRESSION

    Aim: To find whether the model designed with Age and Edges are teeth of cutting, Hammer,

    chisels, Hand tools.

    HO: The Mean score of Age on Edges are teeth of cutting, Hammer, chisels, Hand tools is

    equal

    H1: The Mean score of Age on Edges are teeth of cutting, Hammer, chisels, Hand tools is

    unequal

    Model Summaryb

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .188a .035 -.010 .779

    Model Summaryb

    ModelChange Statistics

    R Square Change F Change df1 df2 Sig. F Change

    1 .035 .780 3 64 .510

    a. Predictors: (Constant), Edges are teeth of cutting, Hammer, chisels , Hand tools

    b. Dependent Variable: Age

    ANOVA

    Model Sum of Squares Df Mean Square F Sig.

    1Regression 1.420 3 .473 .780 .510a

    Residual 38.859 64 .607

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    Total 40.279 67

    a. Predictors: (Constant), Edges are teeth of cutting, Hammer, chisels , Hand tools

    b. Dependent Variable: Age

    Coefficientsa

    ModelUnstandardized Coefficients

    B Std. Error

    1

    (Constant) 2.393 .549

    Hand tools .145 .179

    Hammer, chisels -.124 .121

    Edges are teeth of cutting -.102 .124

    Coefficientsa

    ModelStandardized Coefficients

    t Sig.

    Beta

    1

    (Constant) 4.356 .000

    Hand tools .144 .807 .422

    Hammer, chisels -.155 -1.023 .310

    Edges are teeth of cutting -.144 -.827 .411

    Coefficientsa

    Model95.0% Confidence Interval for B

    Lower Bound Upper Bound

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    1

    (Constant) 1.295 3.491

    Hand tools -.213 .502

    Hammer, chisels -.367 .118

    Edges are teeth of cutting -.350 .145

    a. Dependent Variable: Age

    Residuals Statisticsa

    Minimum Maximum Mean Std. Deviation N

    Predicted Value 1.84 2.52 2.10 .146 68

    Std. Predicted Value -1.821 2.850 .000 1.000 68

    Standard Error of Predicted Value .108 .436 .177 .068 68

    Adjusted Predicted Value 1.69 2.55 2.10 .168 68

    Residual -1.207 2.080 .000 .762 68

    Std. Residual -1.549 2.669 .000 .977 68

    Stud. Residual -1.690 2.815 .000 1.009 68

    Deleted Residual -1.437 2.313 -.001 .812 68

    Stud. Deleted Residual -1.716 2.983 .009 1.037 68

    Mahal. Distance .301 19.974 2.956 3.504 68

    Cook's Distance .000 .222 .017 .038 68

    Centered Leverage Value .004 .298 .044 .052 68

    a. Dependent Variable: Age

    Interpretation:

    The adjusted r2 value is 0.035 which means only 3.5% variation between the variables

    ventilation and temperature.

    Calculated value =0.780

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    Degree of freedom=3, 64

    Tabulated value is 2.748

    Tabulated value >calculated value

    Result:

    The calculated value is less than the tabulated value so we accept the null hypothesis. So it is

    concluded The Mean score of Age on Edges are teeth of cutting, Hammer, chisels, Hand tools

    is equal.

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    TOOLS-5

    REGRESSION

    Aim: To find whether the model designed with Age and Ventilation facilities, First aid box,

    Precautionary indication, Safety.

    HO: The Mean score of Age on Ventilation facilities, First aid box, Precautionary indication,

    Safety is equal

    H1: The Mean score of Age on Ventilation facilities, First aid box, Precautionary indication,

    Safety is unequal

    Model Summaryb

    Model R R Square Adjusted R Square Std. Error of the Estimate

    1 .171a .029 -.032 .788

    Model Summaryb

    ModelChange Statistics

    R Square Change F Change df1 df2 Sig. F Change

    1 .029 .474 4 63 .755

    a. Predictors: (Constant), Ventilation facilities, First aid box, Precautionary indication, Safety

    items

    b. Dependent Variable: Age

    ANOVAb

    Model Sum of Squares df Mean Square F Sig.

    1 Regression 1.176 4 .294 .474 .755a

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    Residual 39.104 63 .621

    Total 40.279 67

    a. Predictors: (Constant), Ventilation facilities, First aid box, Precautionary indication, Safety

    items

    b. Dependent Variable: Age

    Coefficientsa

    ModelUnstandardized Coefficients

    B Std. Error

    1

    (Constant) 2.559 .691

    First aid box -.169 .159

    Precautionary indication .003 .194

    Safety items -.037 .156

    Ventilation facilities .109 .131

    Coefficientsa

    Model

    Standardized Coefficients

    t Sig.

    95.0% Confidence Interval for B

    Beta Lower Bound Upper Bound

    1

    (Constant) 3.701 .000 1.177 3.941

    First aid box -.157 -1.062 .292 -.487 .149

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    Result:

    The calculated value is less than the tabulated value so we accept the null hypothesis. So it is

    concluded The Mean score of Age on Ventilation facilities, First aid box, Precautionary

    indication, Safety is equal.

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    TOOLS-6

    ANOVA

    Aim: To find whether the mean score of Age are same on Duration of the periodic medical

    checkup provided

    H0: The mean score of Age are same on Duration of the periodic medical checkup provided

    H1: The mean score of Age are not same on Duration of the periodic medical checkup

    provided.

    ANOVA

    Duration of the periodic medical checkup provided

    Sum of Squares df Mean Square F Sig.

    Between Groups 1.553 3 .518 .733 .536

    Within Groups 45.212 64 .706

    Total 46.765 67

    Calculated value = 0.733

    Degree of freedom=3, 64

    Tabulated value is 2.750 from 5% significance level of f test

    Tabulated value >calculated value

    Result:

    The calculated value is less than the tabulated value so we accept the null hypothesis. So it is

    concluded the Age are same on the Satisfied with the working environment.

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    TOOLS-7

    CHI-SQUARE

    Aim: To set the significant difference between Gender with Satisfied with the working

    environment

    H0: There is no significant difference between Gender and Satisfied with the working

    environment.

    H1: There is significant difference between Gender and Satisfied with the working

    environment.

    Crosstab

    Gender * Satisfied with the working environment Crosstabulation

    Count

    Satisfied with the working environment

    Total

    Yes No

    Gender

    Male 18 0 18

    Female 47 3 50

    Total 65 3 68

    Chi-Square

    Chi-Square Tests

    Value DfAsymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square 1.130a 1 .288

    Continuity Correctionb .155 1 .694

    Likelihood Ratio 1.894 1 .169

    Fisher's Exact Test .560 .391

    Linear-by-Linear

    Association1.113 1 .291

    N of Valid Cases 68

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    Chi-Square Tests

    Value DfAsymp. Sig. (2-

    sided)

    Exact Sig. (2-

    sided)

    Exact Sig. (1-

    sided)

    Pearson Chi-Square 1.130a 1 .288

    Continuity Correctionb .155 1 .694

    Likelihood Ratio 1.894 1 .169

    Fisher's Exact Test .560 .391

    Linear-by-Linear

    Association1.113 1 .291

    N of Valid Cases 68

    a. 2 cells (50.0%) have expected count less than 5. The minimum expected count is .79.

    b. Computed only for a 2x2 table

    Interpretation

    The table value of chi-square contribution of % level of significance is lesser than calculated

    value. So the Ho is rejected. Thus there is significant association between educational

    qualification and Satisfied with the working environment.

    Result

    Calculated value is 1.130

    Degree of freedom is 1

    Significance level 5% and Confidence limit 95 %

    Tabulated value is 3.84

    The table value > the calculated value

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    CHAPTER-V

    FINDING, SUGGESTIONS AND CONCLUSION

    5.1 FINDINGS

    1. Most of the respondents belong to 20th to 23rd age group.2. Most of the respondents are Female.3. Most of the respondents educational qualification is diploma.4. Most of the respondents designation is short term trainee.5. Most of the respondents income level is Rs 3000 to Rs 10000.6. Most of the respondents are single.7. Most of the respondents belongs to 16 to 19 age group are strongly agree with the

    safety policy, 20 to 23 age group are strongly agree the safety policy, 24 to 27 age

    group are agree the safety policy, 27 above age group are strongly agree the safety

    policy.

    8. Most of the respondents belongs to 16 to 19 age group are strongly agree theSafety and health recorders,20 to 23 age group are agree the Safety and health

    recorders, 24 to 27 age group are agree the Safety and health recorders, 27 above

    age group are strongly agree the Safety and health recorders.

    9. Most of the respondents belongs to 16 to 19 age group are strongly agree theTraining levels,20 to 23 age group are agree the Training levels, 24 to 27 age group

    are strongly agree the Training levels, 27 above age group are strongly agree the

    Training levels.

    10.Most of the respondents belongs to 16 to 19 age group are strongly agree theSafety and Health Duties,20 to 23 age group are agree the Safety and HealthDuties, 24 to 27 age group are strongly agree the Safety and Health Duties, 27

    above age group are strongly agree the Safety and Health Duties.

    11.Most of the respondents belongs to 16 to 19 age group are agree the Tool-boxbriefings and safety checks,20 to 23 age group are agree the Tool-box briefings

    and safety checks, 24 to 27 age group are agree the Tool-box briefings and safety

    checks, 27 above age group are strongly agree the Tool-box briefings and safety

    checks.

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    12.Most of the respondents belongs to 16 to 19 age group are strongly agree theSafety committee,20 to 23 age group are agree the Safety committee, 24 to 27 age

    group are agree the Safety committee and 27 above age group are agree the Safety

    committee.

    13.Most of the respondents belongs to 16 to 19 age group are agree the Safety aspectsin site planning and layout, 20 to 23 age group are agree the Safety aspects in site

    planning and layout, 24 to 27 age group are agree the Safety aspects in site

    planning and layout and 27 above age group are strongly agree the Safety aspects

    in site planning and layout.

    14.Most of the respondents belongs to 16 to 19 age group are agree the Training,20 to23 age group are agree the Training, 24 to 27 age group are agree the Training and

    27 above age group are agree the Training.

    15.Most of the respondents belongs to 16 to 19 age group are strongly agree theTraffic control system,20 to 23 age group are agree the Traffic control system, 24

    to 27 age group are agree the Traffic control system and 27 above age group are

    strongly agree the Traffic control system.16.Most of the respondents belongs to 16 to 19 age group are strongly agree the

    Facilities for preparing and eating food, 20 to 23 age group are agree the Facilities

    for preparing and eating food, 24 to 27 age group are agree the Facilities for

    preparing and eating food and 27 above age group are agree the Facilities for

    preparing and eating food.

    17.Most of the respondents belongs to 16 to 19 age group are strongly agree theSufficient and suitable washing facility,20 to 23 age group are agree the Sufficient

    and suitable washing facility, 24 to 27 age group are agree the Sufficient and

    suitable washing facility and 27 above age group are agree the Sufficient and

    suitable washing facility.

    18.Most of the respondents belongs to 16 to 19 age group are agree the Enoughtraining can be given,20 to 23 age group are agree the Enough training can be

    given, 24 to 27 age group are agree the Enough training can be given and 27 above

    age group are agree the Enough training can be given.

    19.Most of the respondents belongs to 16 to 19 age group are strongly agree theDrinking Water,20 to 23 age group are agree the Drinking Water, 24 to 27 age

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    group are agree the Drinking Water and 27 above age group are strongly agree the

    Training.

    20.Most of the respondents belongs to 16 to 19 age group are strongly agree theEscape routes in case of fire, 20 to 23 age group are strongly agree the Escape

    routes in case of fire, 24 to 27 age group are strongly agree the Escape routes in

    case of fire and 27 above age group are