B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution –...

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KUNTHAVAI NAACHIAAR GOVT ARTS COLLEGE (W) AUTONOMOUS, THANJAVUR 7 (Affiliated to Bharathidasan University) B.Sc., Statistics SYLLABI 2011-2012 Onwards (APPROVED BY BOARD OF STUDIES)

Transcript of B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution –...

Page 1: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

KUNTHAVAI NAACHIAAR GOVT

ARTS COLLEGE (W) AUTONOMOUS,

THANJAVUR – 7 (Affiliated to Bharathidasan University)

B.Sc., Statistics

SYLLABI 2011-2012 Onwards

(APPROVED BY BOARD OF STUDIES)

Page 2: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

STATISTICS BOARD OF STUDIES

MEMBERS 1. Dr.P.RAJAMANICKAM, Ph.D., Principal,

Govt. Arts College,

Karur.

2. Mrs. K.PUSPANAYAKI, M.Sc., M.Phil., Associate Professor of Statistics,

A.D.M. College,

Nagapattinam.

3. Mr.P.VEERAMANI, M.Sc., M.Phil., MBA., Associate Professor of Statistics,

Rajah Serfoji Govt. College,

Thanjavur.

4. Miss. T.SUBHASHINI, B.Sc., MBA., SSE, IDBI Bank,

Aluminee.

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K.N. Govt. Arts College (W) (Autonomous), Thanjavur - 7

Course Structure for the year 2011 onwards

U.G. - Statistics

Sem Sub Code Course Inst Hrs

Credit Exam Hrs

Marks Total

Int Ext

I 11K1T1 LC-I Tamil - I 6 3 3 25 75 100

I 11K1E1 ELC-I English - I 6 3 3 25 75 100

I 11K1S01 CC-I Descriptive Statistics 5 5 3 25 75 100

I CC-II Practical - I (Descriptive

Statistics) 3 --

I 11K1SAS1 AC-I Statistics and Mathematics

- I 5 4 3 25 75 100

I AC-II Statistics and Mathematics

- II 3 --

I 11K1ES Environmental studies 2 2 3 25 75 100

Total 30 17 500

II 11K2T2 LC-II Tamil - II 6 3 3 25 75 100

II 11K2E2 ELC-

II English - II 6 3 3 25 75 100

II 11K2S02P CC-II Practical - I (Descriptive

Statistics) 3 5 3 40 60 100

II 11K2S03 CC-III Probability Theory and

Random Variables 4 4 3 25 75 100

II 11K2SAS2 AC-II Statistics and Mathematics

- II 3 3 3 25 75 100

II 11K2SAS3 AC-

III

Statistics and Mathematics

- III 4 3 3 25 75 100

II 11K2SELO1 NME-

1 Statistical Methods 2 2 3 25 75 100

II 11K2VE Value Education 2 2 3 25 75 100

Total 30 25 800

III 11K3T3 LC-III Tamil - III 6 3 3 25 75 100

III 11K3E3 ELC-

III English - III 6 3 3 25 75 100

III 11K3S04 CC-

IV Discrete Distributions 4 4 3 25 75 100

III 11K3SO5 CC-V Statistical Inference - I 3 3 3 25 75 100

III CC-

VI

Practical - II (Bivariate

R.V's, Fitting) 3 --

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III 11K3SAS4 AC-

IV

Simulation and Inventory

control - I 5 4 3 25 75 100

III AC-V Simulation and Inventory

control - II 3 --

Total 30 17 500

Sem Sub Code Course Inst Hrs

Credit Exam Hrs

Marks Total

Int Ext

IV 11K4T4 LC-IV Tamil - IV 6 3 3 25 75 100

IV 11K4E4 ELC-

IV English -IV 6 3 3 25 75 100

IV 11K4S06P CC-

VI

Practical - II (Bivariate

R.V's, Fitting) 3 6 3 40 60 100

IV 11K4S07 CC-

VII Continuous Distributions 4 4 3 25 75 100

IV 11K4SAS5 AC-V Simulation and Inventory

control - II 3 3 3 25 75 100

IV 11K4SAS6 AC-

VI

Simulation and Inventory

control - III 4 3 3 25 75 100

IV 11K4SBEC1 SBE-1 Soft Skills 4 4 3 25 75 100

IV 11K4EA Extension Activities -- 1

Total 30 27 700

V 11K5S08 CC-

VIII Statistical Inference - II 5 5 3 25 75 100

V 11K5S09 CC-

IX Sampling Techniques 4 4 3 25 75 100

CC-X Practical - III (Sampling,

Inference & SQC) 3 --

V CC-

XI

Practical - IV (Design,

Numerical & OR) 3 --

V 11K5SELS1 MBE-

1 Numerical Analysis 5 5 3 25 75 100

V 11K5SELO2 NME-

2 Bio Statistics 2 2 3 25 75 100

V 11K5SBEC2 SBE-2 Communication

&Personality Development 4 4 3 25 75 100

V 11K5SBEC3 SBE-3 Fish Culture 4 4 3 25 75 100

Total 30 24 600

VI 11K6S10P CC-X Practical - III (Sampling,

Inference & SQC) 3 5 3 40 60 100

VI 11K6S11P CC-

XI

Practical - IV (Design,

Numerical & OR) 3 5 3 40 60 100

VI 11K6S12 CC-

XII Design of Experiments 7 5 3 25 75 100

VI 11K6S13 CC-

XIII

Elements of Operations

Research 7 5 3 25 75 100

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VI 11K6SELS2 MBE-

2 Statistical Quality control 5 5 3 25 75 100

VI 11K6SELS3 MBE-

3 Programming in 'C' 4 4 3 25 75 100

VI 11K6GS Gender Studies 1 1 3 25 75 100

Total 30 30 700

Grand Total 180 140 3800

No. of Courses

LC - 4

ELC - 4

CC - 13

AC - 6

EVS - 1

VE - 1

SBE - 3

NME - 2

MBE - 3

GS - 1

Ext.

Act - 1

Total - 39

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Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K1SO1

Core Course – I Descriptive Statistics

Unit – I

Statistics – Definition – functions, scope and limitations of statistics –

Primary and Secondary data – Methods of collecting Primary data and sources

of secondary data classification – Definition – Objective and Types of

Classification Tabulation – Steps in tabulation and types of tables.

Unit – II

Diagrams – Uses of diagrams – Types of diagrams – Bar diagrams –

Simple, Component, Multiple and Percentage bar diagrams, Pie diagram,

Graphs – Uses – Types of graphs – Histogram, frequency polygon, frequency

curve and ogives.

Unit – III

Measures of Central tendency – Definition and Properties – Types of

measures of Central tendency – Arithmetic mean, Median,

Quartiles,Deciles,Percentiles, Mode, Geometric mean, Harmonic mean.

Measures of Dispersion – Range, Quartile deviation, Mean deviation and

Standard deviation and co-efficient of variation. Skewness and Kurtosis –

Definition, Types and measures of skewness and Kurtosis – Simple problems.

Unit – IV

Correlation Analysis – Definition, types of correlation and properties of

correlation. Methods of measuring correlation – Karl Pearson‟s

Method,Concurrent deviation method and Spearman‟s Rank Correlation.

Regression – Definition – Properties of Regression co-efficients, Regression

equations and Regression co-efficients – Simple problems.

Unit – V

Association of attributes – Class frequencies, order of frequencies –

contingency table – finding missing frequencies – Yule‟s co-efficient of

Association.

List of Books for Reference :

1. S.C.Gupta and V.K.Kapoor – Fundamentals of Mathematical

statistics.

2. S.P. Gupa – Statistical Methods

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Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K1SAS1

Allied Course – I Statistics and Mathematics - I

Unit – I

Census method – sampling method, Non – probability sampling –

Judgement sampling, Quato sampling – advantages and disadvantages,

probability sampling – Simple random sampling, stratified random sampling,

systematic sampling – sampling errors.

Unit – II

Vital statistics – Definition – Methods fertility – crude birth rate, specific

birth rate, general birth rate, total fertility rate, gross reproduction rate and Net

reproduction rate – problems. Mortality – crude death rate, SDR life table –

uses – problems.

Unit – III

Eigen values and eigen vectors – power of matrix – cayley Hamilton –

theorem (without proof) inverse.

Unit – IV

Algebra – Binomial theorem – Expansion of rational fractions,

summation of the series, approximation. Exponential series – expansion –

summation of the series, logarithmic series – summation of the series.

Unit – V

Matrices – Definition, Types of Matrices – Operations on matrices,

Hamilton matrix, Orthogonal matrix, Rank of matrix. Inverse of a matrix,

System of linear equations – Consistency – non-homogeneous linear equations,

homogeneous linear equations, simple problems.

Books for Study :

1. Narayanan & Manickavasagam Pillai & others : Ancillary mathematics

2. S.P. Gupta – Statistical Methods

3. S.C. Gupta & V.K. Kapoor – Fundamental of applied statistics.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

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Environmental Studies 11K1ES

Unit – I

Definition, scope and importance, need for public awareness.

Unit – II

Natural Resources – Forest resources – Water resources – Mineral

resources – Food resources – Energy resources – Land resources.

Unit – III

Eco Systems – Meaning – Forest eco System – Grassland eco System –

Desert eco System – Aquatic eco system – Bio geographical classification of

India – Hot – Spots of biodiversity.

Unit – IV

Environmental pollution – Air pollution – Water pollution – Soil

pollution – Noise pollution – Thermal pollution – Nuclear hazards – Pollution

Case studies.

Unit – V

Human population and Environment – Population explosion – Family

welfare programme – Environment and human health – Human Rights – HIV /

AIDS – Women and Child welfare.

Reference :

N. Arumugam – Concepts of Ecology

N. Arumugam – Environmental studies

N. Arumugam – Survey of the Environment

B. Chandrasekaran – Environmental studies.

V. Kumaresan – Plant Ecology and Phytogeography

Purohit – A Test book of Environmental Science

D. Tharmaraj – Environmental science

M.P. Mishra – Our Environmental pollution control and future strategies.

Bharathidasan University publication – Environment studies (Tamil and

English book).

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K2SO2P

Core Course – II - Practical – I (Descriptive Statistics)

Unit – I

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Construction of Univariate and Bivariate frequency tables. Diagrams –

Bar Diagrams and Pie Diagrams. Graphs – Histogram, Frequency Polygon,

Frequency curves and Ogives.

Unit – II

Computation of Arithmetic Mean, Median,

Quartiles,Deciles,Percentiles,Mode, Geometric mean and Harmonic mean.

Unit – III

Computation of Dispersion – Quartile Deviation, Mean deviation,

Standard deviation and co-efficient of variation.

Unit – IV

Computation of Karl Pearson‟s co-efficient of skewness and Bowley‟s

co-efficient of skewness.

Unit – V

Computation of Karl Pearson‟s co-efficient of correlation,Concurrent

deviation method and Spearman‟s Rank Correlation. Computation of

Regression equations. Testing consistency of data and computation of Yule‟s

co-efficient of Association.

Page 10: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K2SO3

Core course – III – Probability Theory and Random Variables

Unit – I

Random experiment, sample space, Types of events – Definition classical

approach to probability – Mathematical and Statistical definition, axiomatic

approach to probability. Addition Theorem & Multiplication theorem, on

probability with proof conditional probability, Baye‟s theorem and Boole‟s

inequality with proof – simple problems.

Unit – II

Random variable – Definition – Discrete random variable – probability

mass function – Distribution function – properties – simple problems.

Unit – III

Continuous random variable – Definition – Distribution function of

continuous random variable – properties – probability density function – simple

problems.

Unit – IV

Mathematical Expectation – Definition – properties of Expectation,

Addition and Multiplication Theorems with proof, variance, covariance, and its

properties – Simple problems.

Unit – V

Bivariate probability distribution – joint probability mass function and

joint probability density function, joint probability distribution function,

marginal probability density functions conditional probability density functions,

conditional Expectation, conditional variance, stochastic independence –

Definition and simple problems.

Books of Study :

1. Rohatgi.V.K. – An Introduction to probability Theory and Mathematical

Statistics.

2. S.C. Gupta and V.K. Kapoor – Fundamentals of Mathematical Statistics.

Page 11: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K2SAS2

Allied Course – II Statistics and Mathematics - II

Unit – I

Index numbers – Definition, uses problems in the constructions of index

numbers. Methods of index numbers – simple aggregate index. Weighted index

numbers – Laspeyre‟s, paasche‟s and fisher‟s index numbers. Time reversal and

factor reversal tests. Cost of living index numbers – methods of construction

(family budget method and aggregate expenditure method)

Unit – II

Statistical decision theory – common elements of decision theory – Pay

off table – problems, maximin and minimax principles – EMV, EOL, EPPI,

EVPI – problems.

Unit – III

Differentiation – Definition, formulas, simple problems, Inverse function,

Differentiation by transformation, differentiation of implicit function, Higher

derivatives, simple problems.

Unit – IV

Partial derivatives – Definition, Simple problems. Homogeneous

function and Euler‟s theorem – Statement and Simple problems. Rolle‟s

theorem (with proof).

Unit – V

Complex numbers – Properties, Arithmetic operations, Demoiure‟s

theorem (statement only), Expansion of cos n, sin n and expansion of cosn,

sinn - simple problems.

Books for Study :

1. Dr.S. Arumugam and A. Thangapandi Issac – Calculas Volume 1. (Differentiation

and Applications) Unit – I : 67, 90 – 109, 1117 – 137. Unit – II : 202 – 203.

2. Dr. S. Arumugam and A. Thangapandi Issac – Calculas (Differentiation and

Applications) Unit – II : 165 – 180.

3. A. Singaravelu – Allied Mathematics – I, Unit – II : 2.17 – 2.47.

4. A. Singaravelu – Allied Mathematics (Paper II), Unit III : 4.1 – 4.26.

5. Dr. Gupta & S.P. Kapoor, Statistical Methods, Edision 2007, Sultan and Chand

& Co. Unit – IV, V.

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Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K2SAS3

Allied Course – III Statistics and Mathematics - III

Unit – I

Analysis of Time series – uses components of time series Measurements

of trend – Free hand method, Semi – average method moving Average method

and Method of least squares – Problems.

Unit – II

Business forecasting : steps in forecasting methods of forecasting, choice

of forecasting – theories of business forecasting – Cautions of business

forecasting.

Unit – III

Integration – Definition. Important results (simple problems). Integration

by the method of substitution (9 important formulas). Trigonometric

Substitution- simple problems.

Unit – IV

Integration of Rational algebraic function. Type I - )x(Q/)x(P -

problems. Integration by the method of partial fractions- Simple problems. Type

II – partial fractions. Type III - cbxax

dx and simple problems.

Unit – V

Reduction formula for xdxtan,xdxxcoxsin,xdxcos,xdxsin nnmnn -

simple problems. Beta function and Gamma function definition and properties –

Simple problems.

Books for Study :

1. A. Singaaravelu – Allied Mathematics – I

Unit – I : 3.1 – 3.24 ,Unit – II : 3.39 – 3.47 Unit – III : 3.86 – 3.103

2. Dr. S. Arumugam and A. Thangapadi Issac – Calculas (differentiation

and Applications) Unit – III : 440 – 458.

3. Dr. Gupta S.P. Kapoor, Statistical Methods, edision 2007, Sultan and

Chand & Co. Unit – IV, V.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

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Non Major Elective Course – 1 11K2SELO1

Statistical Methods

Unit – I

Definition of Statistics – Characteristics, Uses in business and limitations

of statistics.

Unit – II

Collection of data - Definition of primary and secondary data – methods

of collecting primary data and secondary data.

Unit – III

Diagrams – Definition and uses – Types of diagrams – simple bar, sub-

divided, multiple bar diagrams and pie diagram.

Unit – IV

Graphs – Definition and uses, difference between diagrams and graphs.

Types of graphs – Histogram, frequency polygon and frequency curve.

Unit – V

Sampling – Definition of population, Sample, parameter, statistic.

Difference between census and sampling – Merits and demerits of sampling.

Methods of sampling – Simple Random Sampling – Stratified and Systematic

sampling.

Books for Study :

1. Statistics – R.S.N. Pillai & V. Bagavathi

2. Statistical Methods – S.P. Gupta

Page 14: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Value Education 11K2VE

Unit – I

Introduction – Definition of Value Education – Need for Value Education

– Teachings of values by various religions like Hinduism, Buddhism,

Christianity, Jainism, Islam etc.

Unit – II

Living & Social Values. Living Values : Peace, respect, co-operation,

freedom, happiness, honesty, humility, love, responsibility, simplicity,

tolerance, optimism and positive thinking. Social Values : Love and

Compassion, Sharing and Generosity, Politeness and Courtesy, Gratitude, Duty

and Responsibilities towards Society, Tolerance and Unity.

Unit – III

Role of Visionaries and Leaders in Social Reforms: Rajaram Mohan Roy,

Mahatma Gandhi, Swami Vivekananda, EVR Periyar, Mother Therasa. Value

Crisis: Religious Fundamentalism and Terrorism – Corruption in Society –

Commerce without Ethics – Education without Character – wealth without

effort. Time Management.

Unit – IV

Yoga : Teaching Yoga – Manavalakkalai – by qualified Yoga Teachers –

The aim is to acquire Physical Health – Mental Acuteness – Strength of Life

Forces and Wisdom – to achieve a holistic way of life – to take up and get

involved in Social Welfare Activities – to learn their commitment to society.

Unit – V

Project work (Any one of the following activities) - Collecting News

details about Value Education from News Papers, Journals and Magazines

and/or Collecting Short Stores or Anecdotes to stress Social and Living Values.

Writing Poems, Stories or Essays highlighting Moral Values or Erosion of

Moral Values. Drawings, Paintings, Collage or Posters to highlight Living and

Social Values or the erosion of these values.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K3SO4

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Core Course – IV – Discrete Distributions

Unit – I

Moment generating function – Definition, properties, characteristic

function – Definition and properties. Inversion Theorem(statement only ) .

Cumulants – Definition and properties. Moments – Raw moments, central

moments and their relationships.

Unit – II

Bernoulli distribution – Definition. Binomial distribution – Definition,

Derivation of Binomial probability distribution, Derivation of moments, 1, 2

co-efficients, cumulants. Recurrence relation for moments, mode. Additive

property moment generating function, characteristic function and limiting case

of Binomial distribution and simple problems.

Unit – III

Limiting form of Binomial distribution-Poisson distribution – Definition,

properties, Derivation of moments, 1, 2, Recurrence relation for moments,

cumulants, mode, additive property, M.G.F., C.F. and Poisson distribution tends

to Normal distribution – proof and simple problems.

Unit – IV

Discrete uniform distribution – Definition derivation of mean and

variance. Negative Binomial distribution – Definition, properties derivation of

mean and variance, moment generating function. Cumulants, Poisson

distribution as a limiting case of Negative Binomial distribution.

Unit – V

Geometric distribution – Definition, properties moments, moment

Generating function. Hyper-geometric distribution – Definition, Mean and

Variance.

Books of Study :

1. S.C.Gupta and V.K.Kapoor – Fundamental of Mathematical statistics

2. Rohatgi. V.K. – An introduction to probability theory and mathematical

statistics.

Page 16: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K3SO5

Core Course – V Statistical Inference – I

Unit – I

Theory of Estimation – Definition, Parameter, Statistic, sampling

distribution, standard error, level of significance, utility of standard error,

Hypothesis – Definition of Null and alternative hypothesis, Type – I and Type – II

errors, one – tailed and two –tailed tests, Critical region. Testing a hypothesis –

General procedure (in section –C, two 5 marks questions may be asked as (a) and

(b)).

Unit – II

Point estimation – properties of good estimator – consistency, unbiasedness,

efficiency and sufficiency. Cramer Rao inequality with proof. Neymann

factorization theorem without proof. Simple problems based on Binomial,

Poisson, Normal and Exponential distribution.

Unit – III

Methods of estimation – Methods of maximum likelihood estimation (MLE)

and methods of moments – simple problems based on Binomial, Poisson, Normal

and exponential distribution. Rao Blackwell theorem with proof. Properties of

MLE‟s without proof.

Unit – IV

Interval estimation – Definition, confidence interval, confidence limits and

confidence coefficient. Confidence interval based on normal distribution –

confidence interval for single proportion and difference between proportions,

confidence interval for single mean and difference of means – procedures and

simple problems.

Unit – V

Confidence interval based on „t‟, „F‟ and Chi-square distribution.

Confidence interval for single mean and difference of means (using „t‟ – statistics).

Confidence interval for variance (Using Chi-Square statistic) and Confidence

interval for variance ratio (Using F – Statistic) – Procedure and Simple problems.

Books for Study :

1. Fundamentals of Mathematical statistics – S.C. Gupta and V.K.Kapoor,

Sultan chand & sons, New Delhi, 11th thoroughly revised edition.

2. Statistical Methods – S.P. Gupta, Sultan chand & Sons, New Delhi, 35th

revised edition 2007.

Books for Reference : An outline of statistical theory – Goon A.M. Gupta,

M.A. and B.Das Gupta.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Page 17: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

B.Sc., Statistics Major 11K3SAS4

Allied Course – IV Simulation and Inventory Control - I

Unit – I

Definition of Inventory – Objectives of an Inventory model – Reasons for

maintaining Inventories – Types of Inventories – Inventory Cost – Variables

involved in the Inventory – Factors affecting Inventory control.

Unit – II

Deterministic Inventory Model (EOQ Model) : Definition types.

Model : I – Derivation of EOQ model with uniform rate of demand,

Infinite production rate, no shortage & lead time is zero – simple problems.

Probabilistic inventory model – Definition – Distinguish between Deterministic

Model and Probabilistic model.

Unit – III

Model : II – Derivation of EOQ model with several production runs of

unequal length, no shortage and lead time is zero – simple problems.

Model : III – Derivation of EOQ model with uniform rate of demand,

finite production rate, no shortage and lead time is zero – simple problems.

Unit – IV

Model : IV – Derivation of EOQ model with infinite production and

variable order cycle time, shortage allowed and lead time is zero – simple

problems.

Model :V – Derivation of EOQ model with finite production, shortage

allowed and lead time is zero – simple problems.

Unit – V

Model :VI – Probabilistic Model – Single period model with Uniform

rate of demand without set-up cost (Discrete & continuous unit) – simple

problems.

Model : VII – Probabilistic Model – Single period model with

Instantaneous Demand without setup cost (Discrete & Continuous units)

Books for Study :

1. Kanthi Swarup, Gupta, P.K. & Man Mohan : Operations Research –

Sultan and Chand & Sons – New Delhi.

2. Sundaresan.V, Ganapathy Subramaniam. K.S., Ganesan. K-A.R.

Publication – Re-print 2002.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics 11K4SO6P

Core Course – VI – Practical II

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(Bivariate random variables & fitting distributions)

Unit – I

Fitting Binomial distribution. Testing goodness of fit using Chi-Square

test.

Unit – II

Fitting Poisson distribution. Testing goodness of fit using Chi-Square

test.

Unit – III

Fitting Negative Binomial distribution. Testing goodness of fit using

Chi-Square test.

Unit – IV

Bivariate Discrete probability Distributions – Marginal and conditional

distributions – Expectation, variance, covariance, correlation co-efficient for

Bivariate discrete r.v.‟s. Calculation of conditional expectation and conditional

variance.

Unit – V

Fitting Normal distribution (Area Method). Testing goodness of fit using

Chi-Square test.

Books for Study :

1. Fundamentals of Mathematical Statistics – S.C.Gupta

2. Practical Statistics – R.S.N.Pillai and V.Bagavathi

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K4SO7

Core Course – VII Continuous Distributions

Unit – I

Page 19: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Continuous Uniform distribution – Definition, Derivation of moments,

Moment Generating function (M.G.F) Characteristic function. Exponential

distribution – Mean and Variance, M.G.F. and Properties.

Unit – II

Normal Distribution – Definition, Properties,Derivation of mean and

variation, Derivation of moments, mode, Median, M.G.F., C.F. cumulant

generating function, Recurrence relation and Additive property of Normal

distribution.

Unit – III

Beta Distribution of first kind and Beta distribution of second kind –

Definition, Derivation of mean, variance and Harmonic mean and properties

Gamma distribution – Definition, Moments, M.G.F. C.G.F. and Additive

property.

Unit – IV

Convergence in probability – Chebychev‟s inequality with proof, weak

law of large numbers with proof. Convergence in distribution – Central limit

theorem (statement) Lindeberg Levy Theorem with proof and De-Moivre‟s

Laplace theorem with proof.

Unit – V

Exact sampling distribution – Chi-Square distribution – Definition, mean,

variance, M.G.F., C.F., Mode and Skewness, Additive property, limiting form

of Chi-Square and applications. Student‟s t distribution – definition, mean,

variance, properties, limiting form of t distribution, F – distribution – definition,

Mean, Variance, Mode and Skewness – Relationship between t, F and Chi-

Square distributions.

Books for Study :

1. Fundamentals of Mathematical Statistics – S.C.Gupta and V.K. Kapoor.

2. An introduction to probability theory and Mathematical statistics –

V.K.Rohatgi.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K4SAS5

Allied Course – V Simulation and Inventory Control - II

Unit – I

Inventory problems with uncertain demand – determining optimum buffer

stock – Determination of Reserve stock. Systems of Inventory control – Fixed

order quantity system (Q-System), periodic Review System (P- System) –

simple problems.

Page 20: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – II

EOQ problems with one price break – EOQ problems with two price

breaks – simple problems.

Unit – III

Multi-item Deterministic problems – Limitation on Inventories –

Limitation on floor space – Limitation on investment – simple problem.

Unit – IV

Replacement problems – Definition – Replacement of equipment that

Deteriorates gradually – Replacement policy when value of money does not

change with time and money charges with time – simple problems.

Unit – V

Individual replacement policy – Group replacement policy – ABC

analysis – Simple problems.

Books for Study :

1. Kanthi Swarup, Gupta, P.K. & Man Mohan : Operations Research –

Sultan and Chand & Sons – New Delhi.

Page 21: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K4SAS6

Allied Course – VI Simulation and Inventory control - III

Unit – I

Simulation – Definition, Reasons for applying simulation technique,

methodology of simulation, simulation models, Advantages and Limitations of

simulation. Event – type simulation – Simple problems.

Unit – II

Generation of random numbers – various methods of generation of

random numbers. Monte – Carlo simulation and its general procedure – simple

problems.

Unit – III

System and System environment – Components of a system, Discrete and

continuous system – Definition – Examples and its components, steps in

simulation study – flow diagram – simple problems.

Unit – IV

Simulation of queueing system – flow diagram – Single Channel queue –

Simulation of Inventory system – New paper seller problem – lead time demand

problem – simulation of an (M,N) inventory system.

Unit – V

Statistical models in simulation : Discrete and continuous random

variables – probability mass function – probability density function –

distribution function. Statistical models – Binomial, Poisson, Uniform, Normal

distributions – Simple problems.

Books for Study :

1. Kanthi Swarup, Gupta, P.K. and Manmohan : Operations Research –

Sultan and Chand and Sons, New Delhi.

2. Jerry Banks, John.S. Carson II and Barry. L. Nelson : Discrete Event

system simulation (II Edn.)

Page 22: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Skills Based Elective – 1 11K4SBEC1

Soft Skills

Unit – I

Business etiquette - Benefits of etiquette – introducing self – how to

shake hands – small talk skills – rules for office meetings – cubical etiquette –

business card etiquette – your business image.

Unit – II

Verbal Communication - Communication process – types of

communication – verbal communication and how to improve verbal

communication – listening skills – questioning skills – type of questions –

advanced questioning techniques – information funnel – Effective.

Unit – III

Assertive Communication – What is assertion – How assertive are you –

Four types of assertion – How to be assertive.

Unit – IV

Accent Neutralization : Introduction – articulation – types of articulation

– basic exercises – articulation and voice Exercises – Deep voice Exercises –

Diction Exercises – seven secrets to be a accent. Non Verbal Communication –

Non verbal communication in business – Classification – Functions – Positive

gesture cluster – Body language in detail – Final thought.

Unit – V

Goal and time Management – Smart Goals – put your Smart Coal in

writing – question to set Smart Goals – Steps to accomplish goals. Time

management Tools – difference between urgent and important – Know How

you spend your time – know and respect your priorities. Telephone Etiquette –

Why Telephone Etiquette – making calls – Receiving calls – Returning calls.

Reference :

Train the trainers‟ Manual on Soft Skills by NASSCOM.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Page 23: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

B.Sc., Statistics Major 11K5SO8

Core Course –VIII Statistical Inference - II

Unit – I

Testing of hypothesis – definition, Simple and composite hypothesis,

power of a test, most powerful test. Test of significance based on Normal

distribution – Test of Significance for single mean and difference of means, Test

for single proportion and difference of proportions – Simple problems.

Unit – II

Small sample test based on „t‟ distribution – Test of significance for

single mean and difference of means (independent samples), paired „t‟ test, Test

of significance of correlation coefficient simple problems.

Unit – III

Difference between Correlation and Regression-Test of significance for

regression coefficient, t – test for partial correlation coefficient and F – test for

variance ratio- simple problems.

Unit – IV

Test of significance based on Chi-Square distribution – Test for

population variance, test for goodness of fit and test for independence of

attributes – simple problems.

Unit – V

Non-parametric test – Definition, advantages and disadvantages – Run

test, Median test, Sign test and Mann Witney U-test (One sample and two

samples) – Procedures only.

Books for Study :

1. Fundamentals of mathematical statistics – S.C.Gupta & V.K.Kapoor,

Sultan chand & sons, New Delhi, 11th thoroughly revised edition.

2. Statistical Methods- S.P. Gupta, Sultan chand & sons, New Delhi, 35th

revised edition – 2007.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K5SO9

Core Course – IX Sampling Techniques

Page 24: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – I

Definitions – parameter, Statistic, population, sample, sampling

distribution, standard error Principal steps in a sample survey, principles of

sample survey, sampling and non-sampling errors, merits of sampling over

census, limitations of sampling.

Unit – II

Simple Random sampling – Selecting SRSWR & SRS without

replacement – Derivation of sample mean & variance, unbiased estimates of

mean & variance – Merits and limitations of SRS WOR. Comparison of

SRSWOR with SRSWR (Variance alone) Merits.

Unit – III

Stratified Random sampling – Derivation of unbiased estimates of mean

and variance – optimum allocation and proportional allocation – comparison of

SRS with stratified sampling (variance alone) – gain in efficiency due to

stratification, merits of stratified Random sampling.

Unit – IV

Systematic sampling – Estimation of population mean and variance,

merits of systematic sampling. Comparison of SRS, Stratified and systematic

sampling using variance.

Unit – V

Method of Ratio estimation – definition, notations, estimation of the

mean and variance from a sample, comparison of the variance of ratio estimator

with the mean per unit – Bias of the ratio estimator.

Books for Study :

1. Sampling Techniques – W.G. Cochran

2. Fundamental of applied statistics – V.K. Kapoor and S.C.Gupta

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K5SELS1

Major Based Elective – 1(Numerical Analysis)

Unit – I

Page 25: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Finite Differences – Forward and Backward differences, operators , &

E, and their basic properties – Interpolation with equal intervals – Newton‟s

Forward & Backward Difference formula – Simple problem.

Unit – II

Interpolation with unequal intervals – Divided differences and their

properties – Newton‟s divided difference formula – Lagrange‟s formula –

Simple problems.

Unit – III

Central difference interpolation formula – Gauss Forward and Backward

difference formulae – Stirling‟s, Bessel‟s Central difference formula – Simple

problems.

Unit – IV

Inverse interpolation : Lagrange‟s method – Interaction of successive

approximation method – simple problems.

Unit – V

Numerical Integration : Trapezoidal Rule – Simpson‟s 3

1 rd &

83 th

rules

– Weddle‟s Rule – Euler‟s summation formula – Simple problems.

Books for Study :

1. Scarborough, B.Numerical Mathematical Analysis, OUP.

2. Sastry, S.S. Introductory method of numerical Analysis, P.H.I.

3. Balasubramanian : Numerical Mathematics, Vol I & II.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K5SELO2

Non Major Elective - 2 - Biostatistics

Unit – I

Definition of Bio – statistics, characteristics of statistics. Data collection

of primary and secondary data – Definition and methods of collecting primary

and secondary data.

Page 26: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – II

Processing of data – Classification – Objectives & types of classification.

Tabulation – Objectives – components of Tables and types of Tabulation.

Formation of frequency distribution – discrete & continuous.

Unit – III

Diagramatic representation – definition. Simple bar diagran, Component

bar diagram multiple bar diagram and pie –diagram – Rules for constructing

diagrams and uses.

Unit – IV

Measures of central tendency – Mean, Median, Mode. Measures of

dispersion – Range and standard deviation – Simple problems.

Unit – V

Correlation – definition. Types of correlation, Methods of studying

correlation – Karl Pearson‟s coefficient of correlation (only). Rank Correlation

(without repeated ranks),simple Regression lines(two variables only)-simple

problems.

Books for Study :

1. Bio-statistics – P.Ramakrishna

2. Statistical methods for Biologists – Bio –statistics – S. Palanichamy &

M.Manoharan.

3. Bio-Statistics – Gurusamy.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Skill Based Elective – 2 11K5SBEC2

Communication and Personality Development

Unit – I

Listening : The teacher reads the passage aloud and poses questions at the

end. The students ought to listen carefully focusing their attention on the reader

and make notes mentally or in their note books. Passages : Poems (Benet – 86 –

88) Prose Passages (Usha Chandrasekaran Unit I, II, III)

Unit – II

Page 27: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Reading : The teacher makes the students read the passages and corrects

the students in pronunciation and punctuation. The teacher is expected to test

the student‟s ability to read with clarity and comprehend the passage. (Benet –

Page 1 -20). (Usha Chandrasekaran Unit IV, V, VI)

Unit – III

Conversion – Dialogue : Student and Principal – Doctor and Patient –

Train-enquiry – Opening a Bank Account – Phone talk – At the watch service

centre – At the restaurant – Between two friends – In the Library – At an

interview Hall (Benet – Page 75-85)

Unit – IV

Writing – Developing Hints. Students are at liberty to make use of their

imagination – Describe yourself – Paraphrasing the poem. (Benet – Page 89-93)

Unit – V

Mish Mash – Note making-(Usha Chandrasekaran Unit – IX) – Write the

good word (Benet – Page 104-106) – Filling up forms (Benet – Page 120 – 123)

– Find the equivalent in mother tongue (Benet – Page 124)

Reference :

1. Bridge course for freshers – D.E. Benet and Garnet Fernandey.

2. English for classroom interaction – Usha Chandrasekaran.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Skill-Based Elective – 3 11K5SBEC3

Fish Culture

Unit – I

Scope of fish culture – Fishery programmes and policies in India.

Organization related to fish culture. Types – fresh water, Marine and backish

water.

Unit – II

Construction of fish forms – site selection layout – arrangement of fish

forms. Maintenance – ploughing – liming – irrigation – fertilization – water

quality management – weed control – predator control, stocking –

Page 28: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

supplementary feeding – disease control, carring fishes – fish farms implements

– fish pond records.

Unit – III

Qualities of culturable fishes – Catla, Rohu, Mrigal, Snake heads and

common carps.

Unit – IV

Fish by products. Fish preservation and processing – Ornamental fish

culture.

Unit – V

Role of fish culture in economic development – Marketing and Export.

Reference :

Study Materials compiled by Dept. of Zoology.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K6S10P

Core Course –X Practical – III

(Statistical Inference, Sampling Techniques & S.Q.C)

Unit – I

Test of significance based on Normal distribution – test of significance

for single mean and difference of means, single proportion and difference of

proportions for large samples. Small sample tests based on „t‟ distribution – test

of significance for single mean and difference of means (independent sample) χ

2 – tests for independence of attributes and goodness of fit.

Unit – II

Confidence interval for single proportion, difference between

proportions, single mean and difference of means using Normal distribution.

confidence interval for single mean and difference of means (Using „t‟ statistic),

confidence interval for variance (using „χ2‟ statistic) and confidence interval for

variance ratio (using „F‟ statistic).

Page 29: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – III

Non-parametric tests – Run test, Median test, sign test and Mannwhitney

U – test (one sample and two samples)

Unit – IV

Estimation of mean and variance of the population of simple random

sampling with replacement (SRSWR) and (SRSWOR) simple random sampling

without replacement. Estimation of mean and variance of stratified random

sampling using Neyman‟s optimum Allocation method and proportional

allocation. Estimation of mean and variance of systematic sampling.

Comparison of simple random sampling, stratified and systematic sampling

using variance and estimation of gain in efficiency.

Unit – V

Control charts for variables : X and R-charts, control charts for attributes

: P-chart and d-chart, control chart for number of detectives per unit (C-chart).

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc – Statistics Major 11K6S11P

Core Course -XI Practical – IV

(Numerical Analysis, Design of Experiment & O.R)

Unit – I

Newton‟s Forward and Backward difference formula. Interpolation with

unequal intervals – Newton‟s divided difference formula and Lagrange‟s

formula. Central difference interpolation formula – Stirling‟s and Bessel‟s

formula. Numerical Integration : Trapezoidal Rule, Simpson‟s 1/3rd

and 3/8th

rules, Weddle‟s rule.

Unit – II

Analysis of CRD, RBD with one or two observations Per cell. Missing

plot techniques in RBD (one or two observations missing). Latin Square Design

and Graeco Latin Square Design analysis with one or two missing observations.

Unit – III

Analysis of 22 and 2

3 factorial Designs with & without Confounding

Analysis of 32 factorial Experiments

Page 30: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – IV

Solving LPP by Simplex and Graphical method. Duality in LPP.

Transportation Problems – optimality Test – Unbalanced Transportation

problems.

Unit – V

Assignment problems and unbalanced assignment problems. Two person

Zero games, pay off matrix – Maximin and Minimax principle. Solution of 2x2

game with and without saddle point.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc., Statistics Major 11K6S12

Core Course – XII Design of Experiments

Unit – I

Cochran‟s Theorem – Statement. Analysis of variance – one-way

classification, Two-way classification (Problems are asked in practical)

Statistical analysis of the model. Least square estimates of the parameters and

expected value of various sum of squares.

Unit – II

Experimental Designs – terms and definitions – efficiency of a design.

Principles of an experimental design. Completely Randomised Design (CRD) -

Advantages and disadvantages – applications – Statistical analysis of CRD –

Least Square estimates of effects – expectation of sum of squares.

Unit – III

Randomised Block Design (RBD) – Layout of RBD, advantages and

disadvantages statistics analysis of RBD for one observation. Least square

estimates and expectation of mean sum of squares efficiency of RBD relative to

CRD. Two missing observations.

Unit – IV

Page 31: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Latin square design and graeco Latin square design- advantages and

disadvantages – statistical analysis for one observation, least square – estimate

and expectation of mean sum of square and sum of squares.

Unit – V

Factorial experiments – 22, 2

3 design – main effects and interactions.

Contrast, orthogonal contrast – statistical analysis. Confounding in factorial in

22, 2

3, 3

2 factorial experiment – definition only.

Books for Study :

1. Fundamental of applied statistics – S.C.Gupta & V.K.Kapoor, Sultan

Chand and Sons, 4th thoroughly revised edition, Jan 2007.

2. Experimental Design – 2nd

Edition – William G. Cochran & Gertrude

M.Cox., John Wiley & Sons, Classic library edn. 1992.

Books for Reference : Experimental design – second edition – William

G.Cochran & Gertrude M.Cox, John wiley & Sons,

Wiley classics Library Edn. 1992.

Page 32: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc – Statistics Major 11K6S13

Core Course -XIII Elements of Operations Research

Unit – I

Introduction – Definition and Scope of O.R – Different types of models –

Classification of O.R. – General Solution methods for O.R. Models. Linear

programming Problems – Formulation of LPP – Solving LPP by graphical

method (Two Variables only) – Solving the LPP by Simplex method (no

degeneracy and cycling) – simple Problems.

Unit – II

Concept of duality in LPP – forming dual and Solving the LPP from

duality – Simple problems only. Transportation Problems – North – West

corner rule and Vogel‟s approximation method – Unbalanced Transportation

Problems – Simple Problems.

Unit – III

Assignment problems – reduction theorem – Solving the assignment

Problem – Unbalanced assignment Problems. Theory of games – Two person

Zero games, pay – off matrix – Maximin and Minimax principle – pure and

mixed Strategies – Saddle point, value of games, Solution of game with & with

out saddle point – dominance property.

Unit – IV

Queueing theory – characteristics of queueing process – customer‟s

behavior in a queue – state of the Queueing System – distribution of arrival time

– (M/M/I) : (N/FIFO).

Unit – V

Network – Construction of the Network diagram, CPM – PERT –

Determination of the critical path – PERT calculations.

Books for Study :

1. Kanthi Swarup, Gupta, P.K. & Man Mohan : Operations Research –

Suttan and Chand & Sons – New Delhi.

Books for Study :

1. Taha, M.A. : An Introduction to Operations Research – Callier

Macmillan.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

Page 33: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

B.Sc – Statistics Major 11K6SELS2

Major Based Elective – 2 Statistical Quality Control

Unit – I

Statistical quality control – definition – classification. Chance and

assignable causes – purpose of SQC – uses of SQC – process and product

control – control charts – 3σ control limits – tools for SQC.

Unit – II

Control charts for variables – steps for X and R charts – control limits for

X charts and R charts – criterion for detecting lack of Control in X charts and

R charts. Interpretation of X charts and R charts. Control charts for standard

deviation.

Unit – III

Control charts for attributes – types of attributes – p chart and d chart –

definition, mean and variance. Three methods of p and d charts for variable

Sample size. Interpretation of p chart.

Unit – IV

Control charts for no. of detectives per unit (c – charts) – definition –

limits, mean and variance, c chart for variable sample size or u – Chart –

application of c – Chart – tolerance limits and specification limits –

interpretation – modified control limits – acceptance sampling by attributes.

AQL, LTPD, P , Consumer‟s risk, Producer‟s risk, AOQL.

Unit – V

O.C curve, ASN – definition, Dodge and Roming rectifying sampling

inspecting – Single sample plan, determination of n and c. Double sampling

plan. Single sample plan Vs Double Sampling plan.

Books for Study :

1. Fundamentals of Applied Statistics – S.C. Gupta and V.K. Kapoor,

Sultan Chand and Sons. 4th

thoroughly revised edition, Jan 2007.

Reference :

1. Statistical Quality Control – R.C.Gupta, kanna Publishers, Delhi.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc – Statistics Major 11K6SELS3

Major Based Elective – 3 Programming in ‘C’

Page 34: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – I

Introduction to „C‟ , Variables, Data types – declaratopms, type

conversions, Operators, Bit wise, Logical and Assignment operators.

Unit – II

Expression and conditional expressions, control structures, If-Else,

SWITCH, WHILE, FOR and DO WHILE loop structures. Break, Continue, Go

and Lable statements. Function, function returning, function arguments – static

and register variables.

Unit – III

Arrays and strings – Array declaration, multi dimenstional Arrays strings,

character Array, array initialization – Pointers and Addressess. Pointers and

Arrays – Pointer to functions.

Unit – IV

Structures and functions, arrays of structures, fields. Unions – Definition

and types, standard input and output – formatted output – access to the standard

library.

Unit – V

File Access, file handling in „C‟ – file Descriptions – Error Handling –

Low level i/o – read and write, Open, create, Close, Unling – Random Access –

seek and I seek.

Books for Study :

1. Balagurusamy.E, “Programming in ANSI C”,Tata McGraw Hill

Publishing company.

Page 35: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Allied courses

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc Degree – Mathematics Major 11K3MAS1

Allied course – Mathematical Statistics – I

Unit – I

Page 36: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Statistical data – primary and secondary (definition only) Formation of

frequency distribution. Various measures of central tendency – Mean, median,

mode, geometric mean, Harmonic mean, combined A.M, G.M, (simple

problems), Properties of the above measures.

Unit – II

Measures of Dispersion – Range, quartile deviation, Mean deviation,

standard deviation – their coefficients – merits and demerits (simple problems)

skewness and kutosis – Karl Pearson‟s coefficient. Bowley‟s coefficient

(Simple problems).

Unit – III

Probability – Definition, Axiomatic approach to probability – Additive

and multiplicative laws of probability and conditional probability (simple

problems), Concept of Random variables – discrete and continuous –

Distribution function, pmf, pdf and their properties (simple problems).

Unit – IV

Mathematical Expectation – addition and Multiplication theorems.

Moment generating and characteristics functions, their properties. Conditional

expectation and conditional variance (simple problems).

Unit – V

Binomial and poisson distributions – moments, 1, 2, moment

generating function and cumulant generation function (simple problems). Fitting

a binomial distribution and poisson distributions, Geometric distribution – mean

and variance

Books for Study :

1.Gupta S.C & Kapoor V.K. Funcamentals of Statistics, Sultan Chand &

Sons.

2.Practical Statiscs – R.S.N Pillai and V.Bagavathi.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc Degree – Mathematics Major 11K4MAS2P

Allied course – Mathematical Statistics – II (Practical)

Unit – I

Measures of central tendency – A.M, Median, G.M and H.M. Measures

of Dispersion – Quartile deviation, Mean deviation (from mean & median), SD

Page 37: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

and their coefficient. Measures of Skewness, Calculation of first four moments,

central moments, 1 and 2.

Unit – II

Bivariate discrete probability distribution – finding marginal distribution

and conditional distribution. Calculation of mean, Variance, Covariance,

Correlatin coefficient, expectation, condition expectation and conditional

Variance.

Unit – III

Fitting of binomial distribution. Poisson distribution and Normal

distributions (area method only).

Unit – IV

Calculation of Karl Pearson‟s coefficient of correlation, Spearman‟s Rank

correlation coefficient and the two lines of regression.

Unit – V

Large sample tests – Test of Single mean, difference between mean,

single proportion and difference between proportions.

Exact sample test – „t‟ – test for single mean, difference between means, paired

t – test, chi square test for goodness of fit and independence of attributes.

Books of Study :

1. Fundamentals of Mathematical Statistics - S.C. Gupta & V.K. Kapoor.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.Sc Degree – Mathematics Major 11K4MAS3

Allied course – Mathematical Statistics – III

Unit – I

Normal distribution – mean, median, mode moments, 1 and 2

moment generating function and uses of Normal distribution, Binomial, Poisson

and Chi – Square distribution tending to Normal distribution.

Unit – II

Page 38: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Continuous distributions – Rectangular, Exponential, Beta, gamma, „t‟ , F

and Chi – Square distribution their pdf, mgf, cgf, mean, variance, Relationship

among „t‟ , F and Chi – Square distributions.

Unit – III

Correlation – Definition and uses, Karl Pearson‟s coefficient of

correlation, Spearman‟s rank correlation and their properties. Simple linear

regression lines, regression coefficient and their properties.

Unit – IV

Tests of significance – Definition of Null hypothesis, alternative

hypothesis, sampling distribution, standard error and critical region. Type I and

Type II errors, one tailed and two tailed tests. Large sample test for single mean,

Difference between means, single proportion and difference between

proportions.

Unit – V

Small sample tests – „t‟ test for single mean, Difference between means.

Paired „t‟ test, Chi – Square test for goodness of fit and independence of

attributes.

Books of Study :

1. Fundamentals of Mathematical Statistics - S.C. Gupta & V.K. Kapoor.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B. Sc Degree – Geography Major 11K3GAS1

Allied course – Applied Statistics – I

Unit – I

Definition of Statistics – its functions and Characteristics. Statistical Data

– Primary and Secondary. Methods of collecting primary data & secondary data.

Classification – Definition, objects of Classification and types of classification.

Tabulation – Definition, role of tabulation, Parts of a table and types of tables.

Unit – II

Page 39: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Diagrammatic representation – its Significance, rules for construction.

Types of diagrams – Simple bar diagram and component bar diagram. Simple

pie diagram. Graphs of frequency distributions – Histogram and ogives.

Unit – III

Measures of Central Tendency – Arithmetic mean, median, mode,

Geometric mean & Harmonic mean, Quartiles – merits and demerits and

problems.

Unit – IV

Measures of Dispersion – Range, Quartile Deviation and Standard

deviation – their coefficients, merits & demerits, problems.

Unit – V

Measures of Skewness – Karl Pearson‟s co-efficient of skewness and

Bowley‟s co-efficient of skewness – problems. Kurtosis - Concept only.

Books for Study :

1. Statistics – R.S.N. Pillai & V.Bagavathi.

2. Statistical Methods – S.P. Gupta.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B. Sc Degree – Geography Major 11K4GAS2

Allied course – Applied Statistics – II

Unit – I

Association of Attributes (two attributes). Nine Square table, types of

association, Methods of studying association – Yule‟s Co-efficient of

association – Definition and problems.

Unit – II

Simple correlation – Definition and types of correlation – Methods of

studying correlation – Scatter diagram, Karl Pearson‟s coefficient of correlation,

Spearman‟s rank correlation coefficient and Simple Linear Regression analysis

(problems).

Page 40: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Unit – III

Basic sampling methods – Simple random Sampling, Stratified random

Sampling, systematic Sampling and quota Sampling (no derivations).

Unit – IV

Index numbers – their definition, construction and uses – Laspeyer‟s,

Paasche‟s and Fisher‟s ideal index numbers. Tests of adequacy of a good index

number – Time Reversal test & Factor Reversal test.

Unit – V

Time Series – concept and definition, Components of Time Series –

Secular trend, Seasonal variation, cyclical variation and Irregular variations.

Measurement of Trend by the method of moving average and method of least

squares.

Books for Study :

1. Statistics – R.S.N. Pillai & V.Bagavathi.

2. Statistical Methods – S.P. Gupta.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B. Sc Degree – Geography Major 11K4GAS3

Allied course – Applied Statistics - III

Unit – I

Elements of set theory, definition of sample space. Probability, its

definition, additive and multiplicative laws of probability (Concepts and

statements only) Simple problems (no derivations).

Unit – II

Binomial distribution, Poisson Distribution and Normal Distribution –

Concept, definition, properties (without proof) and uses, simple problems in

Binomial Distribution only.

Unit – III

Testing of hypothesis – Definition of hypothesis – null hypothesis and

alternative hypothesis, standard error, level of significance, critical region,

Page 41: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

parameters and statistic. Type I and Type II errors, one tailed and two tailed

berts. Test procedure.

Unit – IV

Large sample tests – Test for single mean and difference between two

means. Test for single proportion and difference between proportions –

problems and procedure.

Unit – V

Small sample tests – Chi-square test for independence of attributes (Two

attributes only), „t‟ test for single mean, difference between two means and

paired „t‟ test (Problems and procedure).

Books for Study :

1. Statistics – R.S.N. Pillai & V.Bagavathi.

2. Statistical Methods – S.P. Gupta.

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B. A Degree – Economics Major 11K2ECAS1

Allied course – Statistics For Economics – I

Unit – I

Definition of Statistics – its functions and Characteristics. Statistical data

– Primary and Secondary data. Methods of collecting primary and secondary

data. Classification – definition, objects of classification and types of

classification. Tabulation – definition, role of tabulation, parts of a table and

types of tables.

Unit – II

Diagrammatic representation – its Significance, rules for Construction.

Types of diagrams – Simple bar diagram and component bar diagram. Simple

Pie diagram, Graphs of frequency distribution – Histogram and Ogives.

Unit – III

Page 42: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Measures of Central Tendency – Arithmetic Mean, Median, Mode,

Geometric mean and Harmonic mean – merits & demerits, Quartiles.

Unit – IV

Measures of Dispersion – Range, Quartile deviation, Mean deviation and

standard deviation – their coefficients, merits and demerits – simple problems.

Unit – V

Measures of Skewness – Karl Pearson‟s coefficient of Skewness and

Bowley‟s coefficient of Skewness – problems. Concepts of Kurtosis only.

Books of Study :

1. Statistics – R.S.N. Pillai & V.Bagavathi.

2. Statistical Methods – S.P. Gupta.

Page 43: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.A Degree – Economics Major 11K3ECAS2

Allied course – Statistics For Economics – II

Unit – I

Association of Attributes (two attributes), Nine Square table, types of

association, Methods of studying association – Yule‟s Co-efficient of

association – Definition and problems.

Unit – II

Simple correlation – Definition and types of correlation – Methods of

studying correlation – Scatter diagram, Karl Pearson‟s coefficient of correlation,

Spearman‟s rank correlation coefficient and Simple Linear Regression analysis

(problems).

Unit – III

Basic sampling methods – Simple random Sampling, Stratified random

Sampling, systematic Sampling and quota Sampling (no derivations).

Unit – IV

Index numbers – their definition, construction and uses – Laspeyer‟s,

Paasche‟s and Fisher‟s ideal index numbers. Tests of adequacy of a good index

number – Time Reversal test & Factor Reversal test.

Unit – V

Time Series – concept and definition, Components of Time Series –

Secular trend, Seasonal variation, cyclical variation and Irregular variation.

Measurement of Trend only by the method of moving average and method of

least squares.

Books of Study :

1. Statistics – R.S.N. Pillai & V.Bagavathi.

2. Statistical Methods – S.P. Gupta.

Page 44: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

B.A Degree – Economics Major 11K4ECAS3

Allied course – Statistics for Economics - III

Unit – I

Elements of set theory, definition of sample space. Probability, its

definition, additive and multiplicative laws of probability (Concepts and

statements only) Simple problems (no derivations).

Unit – II

Binomial distribution, Poisson Distribution and Normal Distribution –

Concept, definition, properties (without proof) and uses, simple problems in

Binomial Distribution only.

Unit – III

Testing of hypothesis – Definition of hypothesis – null hypothesis and

alternative hypothesis, standard error, level of significance, critical region,

parameters and statistic. Type I and Type II errors, one tailed and two tailed

berts. Test procedure.

Unit – IV

Large sample tests – Test for single mean and difference between two

means. Test for single proportion and difference between proportions –

problems and procedure.

Unit – V

Small sample tests – Chi-square test for independence of attributes (Two

attributes only), „t‟ test for single mean, difference between two means and

paired „t‟ test (Problems and procedure).

Books for Study :

1.Statistics – R.S.N. Pillai & V.Bagavathi.

2.Statistical Methods – S.P. Gupta.

Page 45: B.Sc., Statistics SYLLABI - Kunthavai Nachiaar College · Bivariate probability distribution – joint probability mass function and joint probability density function, joint probability

Kunthavai Nachiaar Govt. Arts College (W) Autonomous,

Thanjavur

BBA – Allied Course 11K2BBAS1

Statistics and Mathematics of Management

Unit – I

Statistics – Definition, functions, limitations, uses of statistics in Business

and Economics. Methods of collecting Primary data and Secondary data.

Classification and Tabulation – Objectives, Types and Uses. Diagrams – Graphs

– Histogram. Frequency polygon and frequency curve.

Unit – II

Measures of Central Tendency – Mean, Median, Mode, Geometric Mean

and Harmonic mean – Merits, demerits and simple problems. Measures of

Dispersion Range, Quartile Deviation, Standard Deviation and its coefficient of

skewness – simple problems.

Unit – III

Simple correlation – Karl Pearson‟s correlation coefficient and

Spearman‟s rank correlation coefficient. Simple Regression lines – Simple

problems. Index numbers – Laspeyre‟s, Paasche‟s and Fisher‟s Index numbers

– Simple problems.

Unit – IV

Differentiation – Definition, Rules of Differentiation – Addition,

Subtraction, Product, Quotient and Power rules. (Excluding square root,

functions, logarithmic and exponential functions). Principles of Maxima and

Minima – Simple problems.

Unit – V

Matrix – Definition, Types of matrices, Addition, Subtraction and

Multiplication of matrices. Determinants of order one, two and three and

inverse of matrix – simple problems. Solving system of linear equations –

simple problems.

Books for Study :

1. Statistical Methods – S.P. Gupta.

2. Statistics – R.S.N. Pillai & Bhagavathi

3. Allied Mathematics I – A. Singaravelu.