Course Handout - Section N (1)
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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 -
8/12/2019 Course Handout - Section N (1)
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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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8/12/2019 Course Handout - Section N (1)
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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
2 After completion of
Session 22
Session 23 10
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Class
Participation
3 After completion of
Session 30
Session 31 10
Non Class
Participation
1 After completion of
Session 8
Session 9 10
Non class
participation
2 After completion of
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.