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##### Sanjukta Mohanty Category

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# Code(Credit) : CUBC2431 (2+2+0)

## Course Objectives

The objective of this course is to familiarize students with the basic statistical tools used for managerial decision-making.

## Learning Outcomes

After successful completion of the course, the student will be able to:
• Produce appropriate graphical and numerical descriptive statistics for different types of data.
• Use simple/multiple regression models to analyze the underlying relationships between the variables through hypothesis testing.
• Conduct and interpret a variety of hypothesis tests to aid decision making in a business context.

## Course Syllabus

Unit-1:
Statistics: Definition, scope and its limitations. Introduction to sampling, Random sampling vs. non-random sampling, Types of sampling, Simple random sampling, stratified random sampling, systematic cluster sampling, Distributions, standard error, sampling from normal production. Classification and tabulation of data.
Unit-2:
Measures of Central Value: Introduction, Definition and Objectives, Requisites of a Good Average. Types of Averages: Arithmetic Mean, Median, Mode, Geometric Mean and Harmonic Mean, advantages and limitation. Which average to use?
Unit-3:
Measures of Dispersion: Introduction, Dispersion Defined, Properties of Good Measure of Variation. Methods of Studying Variation: Absolute and Relative Measure of Variation, Range, The Interquartile Range, The Quartile Deviation, The Mean Deviation, The Standard Deviation, Lorenz Curve, Which Measure of Dispersion to Use?
Unit-4:
Regression and Correlation analysis: Introduction: Significance of the Study of Correlation, Types of Correlation, Methods of Studying Correlation. Use of Regression Analysis: Difference between Correlation and Regression Analysis, Regression Lines, Regression Equations.
Unit-5:
Testing hypothesis- Introduction, procedure of testing hypothesis, concept type I and II errors. Two tailed and one-tailed Tests of Hypothesis. Introduction to chi-square tests and goodness of fit, uses of chi-square tests.

Books recommended:

1. Chandrajit S. Statistics For Business & Economics. Vikas
2. Statistics for Management - Levin and Rubbin, Prentice Hall Of India.
3. Fundamentals of Statistics ( Vol-I & Vol-II) Goon, Gupta, Dasgupta, World Press Pvt. Ltd.
4. A First Course In Statistics With Applications - A.K. P.C. Swain, Kalyani Publishers.
5. Quantitative methods, Millhad Saha & Chakrabarti, TMH
6. Statistical Methods- S. P. Gupta

## Session 2

Classification and tabulation of data, standard error, sampling and types of sampling.

Sampling error & Non Sampling error

Classification of data

## Session 3

Introduction to sampling, Random sampling vs. non-random sampling, Types of sampling, Simple random sampling, stratified random sampling, systematic cluster sampling,

samplingtechniques

sampling-stratified vs cluster

sampling-introduction

## Session 4

Measures of Central Value: Introduction, Definition and Objectives, Requisites of a Good Average.

## Session 5

Types of Averages: Arithmetic Mean, Methods of Calculating Arithmetic Mean,

https://www.youtube.com/watch?v=I33mWfH8Noc (Arithmetic mean for  Grouped data)

## Session 6

Missing Frequency in Arithmetic Mean

## Session 7

Practice class on Arithmetic Mean.

Problem Practice on different methods of Arithmetic Mean.

Problem Practice on missing Frequency.

## Session 8

Properties of Arithmetic Mean.

## Session 10

Practice Session on Median

Problem Practice on median on different methods for discrete and continuous series.

## Session 12

Practice Class on Mode

Problem Practice

## Session 13

Calculation of Geometric Mean .

Properties of Geometric mean

B.Com Sem I STBM Log-Antilog-Tables

Properties of GM

## Session 14

Calculation of Harmonic Mean

## Session 15

Practice Session on Geometric Mean and Harmonic Mean

Problem Practice.

## Session 16

Introduction, Dispersion Defined, Properties of Good Measure of Variation.

## Session 17

Methods of Studying Variation: Absolute and Relative Measure of Variation, Range

## Session 18

The Interquartile Range, The Quartile Deviation- Merits and Demerits

## Session 19

The Mean Deviation, Different methods to measure Mean Deviation- Advantages and dis advantages

## Session 20

The Standard Deviation. Different Method- Merits and demerits

## Session 21

Practice Session on measures of dispersion.

Problem Practice.

## Session 22

Graphical method of measures of Dispersion

Lorenz Curve

## Session 23

Introduction on Correlation: Meaning and types of correlation.

## Session 24

Types of Correlation, Methods of Studying Correlation.

## Session 25

Use of Regression Analysis: Difference between Correlation and Regression Analysis, Regression Lines, Regression Equations

https://www.youtube.com/watch?v=qA-x72ju2kM (difference between correlation and regression)

## Session 26

Testing hypothesis- Introduction, procedure of testing hypothesis

hypothesistesting

Z test & Standard Error

## Session 27 & 28

concept type I and II errors. Two tailed and one-tailed Tests of Hypothesis.

testingofhypothesis

## Session 29 & 30

Introduction to chi-square tests and goodness of fit, uses of chi-square tests.

chi-squaredtest

chisquaretest

## Session 31 & 32

Revision Classes, Problem Practice, Doubt Clearing

## Case Studies

### Our Main Teachers ### Sanjukta Mohanty

##### Faculty
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Sanjukta Mohanty is working as HOD – B.COM (B&A) at Centurion University of Technology and Management, Bhubaneswar. Sanjukta Mohanty is continuing her Ph.D in Management under Utkal University. She has completed her MBA in Finance from Biju Pattnaik University of Technology & Management. She is also having MA in Economics from Ravenshaw University. She has […]