Quantitative Techniques

Teacher

Dr. Bibhunandini Das

Category

Core Courses

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Course Name : Quantitative Techniques

Code(Credit) : MBDM1104(3-1-1)

Course Objectives

• To understand, analyse and interpret empirical data
• To develop logical thinking for need of statistical tools and techniques.

Learning Outcomes

• Develop an understanding on different types of data and statistical tools available for empirical analysis
• Identify different statistical tools that are essential for the empirical and analytical study of various business problems

Course Syllabus

Module 1
Logic for problem solving: Induction, deduction, falsification

Module 2

Measurement of data, types of data, population, random variables, statistics, parameters and estimators

Module 3
Probability: Conditional and Bayesian Approach
Distribution: binomial, poison and normal
Central Limit Theorem

Module 4
Hypothesis testing
Relationship between α and β and sample size.
Sample size calculator, t test, Chi square (all through cases using SPSS/Excel)

Module 5
Project will be an info-graphic project which has to include story line and descriptive statistics like measures of central tendency; comparison, graphs

Session Plan

Session 1

Session 5

Session 6

Session 7

Population and random variables

Population Vs Sample

Session 8

Parameters and Estimators

Parameters and Estimators

Session 9

Parameters and Estimators

Parameters and Estimators

Session 10

Parameters and Estimators

Parameters and Estimators

Session 11

Introduction to probability- Theorems of probability, calculation of probability
Multiplication Theorem
Multiplication problem

Theorem of Probability

Session 12

Practice Class (Problem will be given on addition and multiplication theorem)

Session 14

Conditional Probability

Theorem of Probability

Session 15

Practice Class

Session 17

Session 18

Practice Class

Session 19

Session 20

Poison Distribution

Poison Distribution

Session 21

Normal Distribution

Normal Distribution

Session 22

Practice Class

Session 23

Central Limit Theorem
Introduction to CLT

Session 24

Central Limit Theorem
Introduction to CLT

Session 25

Practice Class

Session 26

Session 27

Sample Size and Sample size calculator

How to calculate sample size

Session 28

A case will be given to calculate sample from the population

Session 29

Session 30

Practice class with used data set

Session 31

Practice class with used data set

Session 33

Z test with used data set

Session 34

Practice Class

Session 35

Practice Class

Session 37

Practice Class

Session 38

Practice class with used data

Session 39

Practice class with used data

Session 40

Practice class with used data

Session 41

Practice class with used data

Session 42

Practice class with used data

Session 43

Project-An info graphic project on Indian economy which should include a story line, descriptive statistics and graph

Database on Indian Economy

Session 44

Discussion on various indicators to prepare the project

Database on Indian Economy

Session 45

Discussion on different descriptive statistics required for the analysis

Database on Indian Economy

Session 46

How to visualise the data?

Database on Indian Economy

Session 47

Project preparation

Database on Indian Economy

Session 48

Project preparation

Database on Indian Economy

Session 49

Project presentation

Session 50

Project presentation

Session 51

Project presentation

Session 52

Project presentation

Case Studies

Case Studies

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    Dr. Bibhunandini Das is working as Associate Professor in Economics in the school of management, Centurion University of Technology and Management, Odisha. Dr Bibhunandini Das has obtained her PhD from the Centre for Development Studies, Jawaharlal Nehru University, New Delhi in 2015. Prior to joining CUTM, she has worked with Indian Institute of Public Health, […]