Management Development Institute Gurgaon
Course Outline
Programme: PGDM (2023-2025)
Title of the Course : Statistics for Management Course
Credit : 3
Core/Elective : Core Term : I
Area : Operations Management Academic Year :
23-24
Course Faculty : Suwarna Shukla Contact No.:
Email : suwarna.shukla@mdi.ac.in
I. Introduction/Description of the Course: Variation is present in all live systems.
Variation in past data leads to uncertainty regarding future. Statistics deals with how
to measure extent of certainty and how to predict in face of uncertainty. Since
business involves uncertainty, analyzing business data becomes important and
Statistics is the only tool for this. A student/practitioner needs to know how to model
data, how to predict, how to know if his/her model is faulty or not. These will be
discussed in this course.
II. Course Objectives: (a) Understand why, where to use statistics, (b) How to measure
uncertainty, (c) Some standard data models, (d) Basics of estimation and testing, (e)
Use of statistics in management, (f) Regression and ANOVA, (g) How to know if
basic assumptions are correct or not.
III. Assurance of Learning (Program Level Goals and Program Level Outcomes)
Learning Goal (LG3)
Learning Outcomes (LOs) Satisfactory performance
LO1.
LO2.
LO3.
IV. Pedagogical Methods: Lecture and Self Study.
V. Evaluation Criteria
Sr. No. Name of Component Approximate % Weightage
Number Assigned
1 Quizzes 4 20
2 Group Project 1 10
3 Mid-Term Examination 1 30
4 End-Term Examination 1 40
5 Any other component NIL
Total Weightage Assigned 100%
VI. Compulsory Text Book: Applied Statistics in Business and Economics by David P. Doane, Lori E.
Seward, and Shovan Chowdhury, 6th Edition, Tata McGraw Hill. Chapters: 1 – 13, 15 – 16.
VII. Content and Session Plan
Session Session Theme Additional Reading/Cases
No.
Topic: Why Statistics, Course Structure Case Study:
1
Deliverables: Readings: Chapters 1-4
Topic: Probability Case Study:
2 Deliverables Readings: Chapter 5
Topic: Probability Case Study:
3
Deliverables: Readings: Chapter 5
Topic: Random Variables Case Study:
4
Deliverables: Readings: Class Notes
Topic: Discrete Models Case Study:
5
Deliverables Readings: Chapter 6
Topic: Continuous Models Case Study:
6
Deliverables: Readings: Chapter 7
Topic: Sampling Distributions Case Study:
7 Deliverables: Readings: Chapter 8
Topic: Estimation Case Study:
8 Deliverables Readings: Chapter 8
Topic: Hypothesis Testing -I Case Study:
9
Deliverables: Readings: Chapter 9
Topic: Hypothesis Testing -I Case Study:
10
Deliverables: Readings: Chapter 9
Topic: Hypothesis Testing -II Case Study:
11
Deliverables Readings: Chapter 10
Topic: ANOVA Case Study:
12
Deliverables: Readings: Chapter 11
Topic: Regression - I Case Study:
13
Deliverables Readings: Chapter 12
Topic: Regression - II Case Study:
14
Deliverables: Readings: Chapter 13
Topic: Regression - III Case Study:
15
Deliverables: Readings: Chapter 13
Topic: Regression – IV-Models Case Study:
16
Deliverables Readings: Chapter 13
Topic: Nonparametric -I Case Study:
17
Deliverables: Readings: Chapter 16
Topic: Nonparametric -II Case Study:
18
Deliverables: Readings: Chapter 15
Topic: Questions and Answers Case Study:
19
Deliverables Readings:
Topic: Project Presentation Case Study:
20
Deliverables: Readings:
VIII. List of Suggested Readings
1. ……………..
2. ….
IX. Other Details (May be revised by the instructors as per course requirements)
Assignment:
Plagiarism, Copying and Cheating:
Other Useful Information:
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