Course Handout - Section N (1)

8/12/2019 Course Handout - Section N (1)

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IBS Hyderabad

Academic Year2014-15

Course HandoutSection N

Course Name: Quantitative Methods Semester: I

Faculty Name: Jigyasu Gaur, Ph.D.

Room No: 107 Wing No: E

Consultation Hours: Friday 9.30 AM10.45 AM

Mobile No: 9010722557 Email: [email protected]

Course Objective: A Manager is called for to take decisions in organizations. Hence, analytical

ability and analytical thinking is important for managerial decision making. This course aims at

equipping you with analytical concepts, tools and techniques which will enhance your capabilities

for objective decision making. The course will also build your foundations for receiving courses like

Managerial Economics, Operations Management, Business Research Methods, Marketing Research,Portfolio Management, Financial Econometrics etc. during the MBA program at IBS. This course is

designed to meet the above agenda.

Learning Outcomes:At the end of the course a student is expected to be equipped with statistical thinking ability

and application of basic statistical tools in business context through this thinking.

Recommended Text Book:

TEXT BOOK AUTHOR / PUBLICATION

Statistics for Business and

Economics

David R Anderson, Dennis J Sweeny and Thomas A Williams,

Cengage Learning, 11e, New Delhi, 2011

Suggested books:

BOOKS AUTHOR / PUBLICATION

Business Statistics in Practice Bruce L Brown, Richard T OConnell and Emily S Murphree,

Tata McGraw-Hill Edition, 2010

Decision Making using

Microsoft Excel

S Christian Albright, Wayne L Winston and Christopher J

Zappe, Cengage Learning, 2009

Statistics for Managers using

Microsoft Excel

David M. Levine,David Stephan,Timothy C. Krehbiel,Mark

L. Berenson,

Fifth Edition, PHI Learning, 2009

Statistics for Management Richard L. Levin & David S. Rubin, Pearson, 2010
http://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20M.%20Levinehttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20M.%20Levinehttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_2?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20Stephanhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_2?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20Stephanhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_2?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20Stephanhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_3?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Timothy%20C.%20Krehbielhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_3?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Timothy%20C.%20Krehbielhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_3?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Timothy%20C.%20Krehbielhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_4?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Mark%20L.%20Berensonhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_3?%5Fencoding=UTF8&search-type=ss&index=books&field-author=Timothy%20C.%20Krehbielhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_2?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20Stephanhttp://www.amazon.com/exec/obidos/search-handle-url/ref=ntt_athr_dp_sr_1?%5Fencoding=UTF8&search-type=ss&index=books&field-author=David%20M.%20Levine


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Course Outline:

Sl.

No.

Session

No.

Topic Case & Case No. Chapter Reading

1. 1-3 Scales & Measurements, Tabular

& Graphical presentation of Data,Central Tendency and Dispersion

Chapters 1 to 3

Excluding Stem & Leaf Display,

Dot Plot, Simpson's Paradox

Section 3.5 will be covered in

Linear Regression

2. 4-6 Probability Concepts Chapter 4

3. 7-8 Discrete Probability Distributions:

Binomial, Poisson

Chapter 5

Excluding Section 5.6

NCP1 Test covering syllabus from Chapter 1 to Chapter 5 will be conducted outside class hours after Session 8.Schedule will be informed by the Academics Office.

4. 9-10 Continuous Probability

Distributions: Uniform, Normal,

Exponential

Chapter 6

5. 11-13 Sampling & Sampling

Distribution

Ascertaining Customer

Satisfaction (IBSCDC:

QM0007)

Chapter 7

Excluding Efficiency and

Consistency properties of a point

estimator from Section 7.7

6. 14-16 Estimation & Testing of

Hypotheses1 (One Sample

Tests)

Note: The listed cases can be used

both for One Sample and Two

Sample Tests.

a. Smoking: A CostlyAffair

(IBSCDC:QM0009)

b. Care Hygiene (ICMRCase)

c. Conversys Inc. A & B(IBSCDC:QM0010 &

QM0033)

d.Quality Associates (from

Text Book)

Chapters 8 & 9

Excluding Sections 9.7 & 9.8

NCP2 Test covering syllabus from Chapter 6 to Chapter 9 will be conducted outside class hours after Session 16.Schedule will be informed by the Academics Office.


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7. 17-20 Estimation & Testing of

Hypotheses2 (Two Sample

Tests)

Note: The listed cases can be used

both for One Sample and Two

Sample Tests.

a. Smoking: A Costly Affair

(IBSCDC:QM0009)

b. CareHygiene (ICMR

Case)

c. Conversys Inc. A & B

(IBSCDC:QM0010

& QM0033)

d.Quality Associates

(from Text Book)

Chapter 10

8. 21- 23 Chi-square and F Distributions a. Shoppers Stop(IBSCDC:QM0016)

b.Melting Delicacies A

(IBSCDC:QM:0011)

Chapters 11 to 12

9. 24-25 ANOVA Real Foods (ICMR Case) Chapter 13.1, 13.2, 13.3

Excluding Type 1 Error Rates

10. 26-29 Simple RegressionEstimation,

Testing, Prediction & Residual

Analysis

Multiple Regression

Interpreting Software output

a.Consumer Research,

Inc. (from Text

Book, p.685)

--- Do --

Chapters 14

NCP3 Test covering syllabus from Chapter 10 to Chapter 14 will be conducted outside class hours after Session 29.

Schedule will be informed by the Academics Office.

11. 30-33 Time Series Analysis

Components (trend, seasonal &

cyclical), Smoothing Methods,

Trend Projections

The Electric Fan Industry

(IBSCDC:QM0017)

Chapter 18

Excluding Section 18.6

Expectations from Students:

a. Students must report to the respective sessions well before the announced time. Latecomers will not bepermitted to join the class after the scheduled time. If late, the attendance for that session will be marked as

absent.

b. Read the Case Study / material well prior to the class discussion. He/she is also expected to read the chapterindicated in the course plan as the faculty directs.

c. In the class discussion student is expected to participate actively and contribute to individual and grouplearning. Evaluation is based on active participation.


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d. The participation has to be relevant and meaningful. Speaking for speaking sake will be counter-productive. Participation by just repeating a point made or picking on what someone has said will also be

counter-productive.

e. Evaluation is a continuous process at IBS. Every student needs to be aware of the timelines given in thesection below. Absence from these evaluations will mean non awarding of marks in that particular

component

f. Wherever applicable, group assignments require each student to contribute to the group effort. Thisenhances group effectiveness and leads to greater appreciation of working in groups.

g. Formal dressing is suggested for all students. Do not roam in the academic area/ attend classes in chappals /shorts / informal t shirts

h. Students are expected to show high regard and appreciation for class discipline and desist from usingmobile phones. This disturbs the class ambience and unnecessarily diverts attention of other students as

well as the faculty member. To avoid these, mobile phones should be switched off inside the classroom.

i. I have given a scheduled consultation hour. Utilize this time to meet me and clarify doubts if any, seekexplanations and get mentored if needed.

j. Attendance is compulsory in all sessions. However refer to guidelines in your academic handbook forexceptions.

Honour Code:

Unfair practices in tests and plagiarism in assignments / project work will straight away entail a

ZERO to all involved parties. It is not relevant for me to know the source and destination of

plagiarism.

Class Organization

Class Representative

Two among you will be elected / selected by consensus as Class Representative for the QM course.

S/he will be responsible for class room arrangements, dealing with academic office, for

communicating information from me to the class and also to collect all assignments / project works

and deliver them to me.

Class Discipline

Students must occupy their seats before I come in and must remain seated until the attendance iscompleted at the end of the class.

Students must have their name plates on the desk. Use of mobile phones is strictly prohibited in the class. Students must bring laptop and the text book to every class. While we may work with

spreadsheet in class, only calculators are permitted in TESTS & EXAMINATIONS.

Students are free to ask questions/doubts/clarifications in the class on topics under discussion.For other doubts, they should meet me in my office during consulting hours.

Evaluation TimelinesKeeping in line with continuous evaluation at IBS the following schedules have been drawn. Students are

expected to go through the dates / sessions mentioned and prepare accordingly.

Component Component

Number

Expected slot / due

date

Marks declaration by Weightage

Class

Participation

1 After completion of

Session 11

Session 12 10

Class

Participation


Session 22

Session 23 10


5/5

Class

Participation


Session 30

Session 31 10

Non Class

Participation


Session 8

Session 9 10

Non class

participation


Session 16

Session 17 10

Non ClassParticipation 3 After completion ofSession 29 Session 30 10

End exam At the end of the semester 40

Total 100

Performance till Midterm will be announced by end of session No. 16 in each course which means each

student will know his / her performance in one CP and two NCPs. The final result will be declared after

the end examinations. Before the student takes the end examination he / she will be aware of the progress

in each course up to an extent of 60 marks. Students not taking the evaluation according to the timelines

mentioned above will not be given another opportunity excepting in rare circumstances of extreme illness

or hospitalization.

Notes:1. Make up test for NCP1 & NCP 2 are permitted only in EXCEPTIONAL cases. I must be

convinced about the reason in advance.

2. Students with less than 60% attendance on the date of any evaluation component will beawarded F grade for that component. This applies for class participation as well.

Brief profile of the Faculty Member

Jigyasu Gaur, Ph.D.

Assistant Professor, IBS-Hyderabad

He has Over 13 years of teaching and research experience. He has published research articles in journals of

international repute. He has also attended over a dozen international and national conferences.

Course Handout - Section N (1)

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