# Quantitative Techniques

Teacher

Category

### Course Attendees

Still no participant

Still no reviews

# 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 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

Probability

Theorem of Probability

## Session 12

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

## Session 14

Conditional Probability

Theorem of Probability

Practice Class

Practice Class

## Session 20

Poison Distribution

Poison Distribution

## Session 21

Normal Distribution

Normal Distribution

Practice Class

## Session 23

Central Limit Theorem
Introduction to CLT

## Session 24

Central Limit Theorem
Introduction to CLT

Practice Class

## 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 30

Practice class with used data set

## Session 31

Practice class with used data set

## Session 33

Z test with used data set

Practice Class

Practice Class

Chi-square

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

### Dr. Bibhunandini Das

##### Associate Professor
VIEW PROFILE

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, […]