BS-P11

BS-P11
PGDM 2011-13: Term-I

Business Statisitics
Prof. Subhajyoti Ray

Introduction

This course is an introduction to statistics designed for management students. In the rapidly changing business environment it is imperative to have an appreciation of data, its presentation and analysis techniques. This course aims at imparting these skills so that you can make better of use of data in taking decisions.

The main objectives of this course are
· To teach the basic concepts of statistics;
· To improve your ability to use statistics in the real world;

Session-wise course outline

Descriptive statistics ( Sessions1 & 2)

Measures of central tendency, dispersion and outliers, data presentation, etc.

Readings:

Chapters 1 to 3

Presentation

Introduction to probability (Sessions 3, 4, & 5)

Approaches to probability, Rules of probability, dependence of events, conditional probability, Bayes rule

Readings

Chapter 4

Random Variables and Probability Distribution (Sessions 6, 7, 8)

Definition of random variable, distribution and some moments, use of expected value in decision making

Discrete and Continuous probability distributions

Readings

Chapter 5

Handouts

Sampling and Sampling distributions (Sessions 9, 10)

Readings

Chapter 6

Statistical estimation (Sessions 11, 12)

Point and Interval estimation

Readings

Chapter 7

Hypothesis testing (Sessions 13, 14, 15, 16)
One sample, two-sample, ANOVA, Chi-Square, F distribution based test of various population parameters.

Readings

Chapters 8, 9 and 11

Non-Parametric tests (Sessions 17, 18)

Readings

Chapter 14

Simple linear regression (Sessions 19 & 20)
Readings
Chapter 12

Evaluation

Mid Term : 30 marks
End Term : 40 marks
Quizzes : 30 marks (2 quizzes of 15 marks each) No requests for make-up quizzes will be entertained

Total : 100 marks Pass Mark - 30 (You get an F grade if you score less than 30)

ACADEMIC DISHONESTY:

Please note that students involved in academic dishonesty will receive a ZERO grade on the particular component in which the infraction occurred.
Academic dishonesty consists of misrepresentation by deception or by other fraudulent means. In an academic setting this may take any number of forms such as copying or use of unauthorized aids in tests, talking during in-class examinations; aiding and abetting another student’s dishonesty; and giving false information for the purpose of gaining credits.

References

1. Statistics for Management, by Levin R.I, and Rubin D.S. Prentice Hall India, Seventh Edition, 2000.

Also note that, as the course covers fundamental topics, most books on business statistics are equally useful.

2. Statistics resources on the Internet
Created By: Debasis Mohanty on 06/20/2011 at 11:03 AM
Category: PGP-I, Miscellaneous Doctype: Document

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