# 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