detailed theoretical and practical content

1. Unit-1
Basics of Statistics
Meaning, scope, importance and limitations, applications of inferential
statistics in managerial decision-making.
Data Collection
Sources
Source of data, collection, classification, tabulation, depiction of data.
Descriptive
Statistics Methods
Arithmetic, weighted, geometric mean, median and mode, range, quartile
deviation, mean deviation, standard deviation, coefficient of variation,
skewness and kurtosis.
Unit-2
Correlation
Analysis
Significance, types, methods of correlation analysis: scatter diagrams, graphic
method, Karl Pearson’s correlation co-efficient, rank correlation coefficient,
properties of correlation, concept and problems related to partial correlation.
Regression
Analysis
Meaning, application of regression analysis, difference between correlation &
regression analysis, regression lines, standard error and regression coefficients,
introduction to multiple regression.
Time series
analysis
Meaning, components and various methods of time series analysis.
Applications of Time series in business decision-making problems, Methods to
measure secular trend.
Unit-3
Types of Analysis
Introduction to Uni-variate, Bi-Variate & Multi-Variate Analysis of data
and its applications
Basics of Hypothesis
Testing
Introduction to Hypothesis and its types, Type 1 & 2 Error, Level of
significance, Acceptance & Rejection Region, Procedure of Hypothesis
Testing.
Applications of
Hypothesis Testing
Small Sample t-test (single & two samples for mean), Z-Test (single &
two samples for mean), chi-square (goodness of fit & association of
attributes), One Way & Two Way Anova.
TEXTBOOKS
T1: T R Jain & S C Aggarwal, Statistics for MBA, VK Publications, ISBN 818961133X,
9788189611330
T2: Levine, D., Sazbat, K. and Stephan, D. 2013. Business Statistics, 7th
Edition, Pearson
Education, India, ISBN: 9780132807265.
T3; Gupta, C. and Gupta, V. 2004. An Introduction to Statistical Methods, 23rd
Edition, Vikas
Publications, India, ISBN: 9788125916543.
REFERENCE BOOKS:

2. R1:Croucher, J. 2011. Statistics: Making Business Decisions, 13th
Edition, Tata McGraw Hill,
ISBN: 9780074710419.
R2:Gupta, S. 2011. Statistical Methods, 4th
Edition, Sultan Chand & Sons, ISBN:
8180548627.
SN Course
Code:
22BAT-605
Decision Science L T P S C CH Course Type
PC
5 4 0 0 0 4 4 Program
Code MB301
PRE-REQUISITE Basic of Mathematics, Algebraic
Calculations
CO-REQUISITE Data based Decision Making, Reasoning
Skills
ANTE-REQUISITE None
a. Course Objectives
1. The objective of this course is to acquaint the students with various statistical tools
and techniques used in business decision making.

3. 2. The course aims at providing fundamental knowledge and exposure to the students to
use various statistical methods in order to understand, analyze and interpret data for
decision making.
3. The course has universal utility in terms of making students future ready for corporate
jobs and entrepreneurial ventures.
b. Course Outcomes
The students will be able:
CO1 To understand the various concepts of descriptive and inferential statistics.
CO2 To apply the concepts studied in solving academic and industry problems.
CO3 To analyze the different situations and develop ability to take a well-informed decision.
CO4 To justify the decisions performed with sound reasoning and logical bent of mind.
CO5 To develop the forecasting models based on historical data available on a variety of
components.
c. Syllabus
Unit-1 Contact Hours: 20
Basics of
Statistics
Meaning, scope, importance and limitations, applications of inferential
statistics in managerial decision-making.
Data Collection
Sources
Source of data, collection, classification, tabulation, depiction of data.
Descriptive
Statistics
Methods
Arithmetic, weighted, geometric mean, median and mode, range, quartile
deviation, mean deviation, standard deviation, coefficient of variation,
skewness and kurtosis.
Unit-2 Contact Hours: 20
Correlation
Analysis
Significance, types, methods of correlation analysis: scatter diagrams, graphic
method, Karl Pearson’s correlation co-efficient, rank correlation coefficient,
properties of correlation, concept and problems related to partial correlation.
Regression
Analysis
Meaning, application of regression analysis, difference between correlation &
regression analysis, regression lines, standard error and regression coefficients,
introduction to multiple regression.
Time series
analysis
Meaning, components and various methods of time series analysis.
Applications of Time series in business decision-making problems, Methods
to measure secular trend.
Unit-3 Contact Hours: 20
Types of
Analysis
Introduction to Uni-variate, Bi-Variate & Multi-Variate Analysis of data and
its applications
Basics of
Hypothesis
Testing
Introduction to Hypothesis and its types, Type 1 & 2 Error, Level of
significance, Acceptance & Rejection Region, Procedure of Hypothesis
Testing.
Applications of
Hypothesis
Testing
Small Sample t-test (single & two samples for mean), Z-Test (single & two
samples for mean), chi-square (goodness of fit & association of attributes),
One Way & Two Way Anova.
d. Textbooks / Reference Books
TEXTBOOKS

4. T1: T R Jain & S C Aggarwal, Statistics for MBA, VK Publications, ISBN
818961133X, 9788189611330
T2: Levine, D., Sazbat, K. and Stephan, D. 2013. Business Statistics, 7th
Edition, Pearson
Education, India, ISBN: 9780132807265.
T3; Gupta, C. and Gupta, V. 2004. An Introduction to Statistical Methods, 23rd
Edition,
Vikas Publications, India, ISBN: 9788125916543.
REFERENCE BOOKS:
R1:Croucher, J. 2011. Statistics: Making Business Decisions, 13th
Edition, Tata McGraw
Hill, ISBN: 9780074710419.
R2:Gupta, S. 2011. Statistical Methods, 4th
Edition, Sultan Chand & Sons, ISBN:
8180548627.
e. Assessment Pattern - Internal and External
The performance of students is evaluated as follows:
Theory
Components Continuous Internal Assessment
(CAE)
Semester End
Examination (SEE)
Marks 40 60
Total Marks 100
f. Internal Evaluation
S.
No.
Type of
Assessment
Weightage of
actual conduct
Frequency
of Task
Final Weightage
in Internal
Assessment
Remarks
(Graded/Non-
Graded)
1 Assignment
in
form of Case
Study/Project
based on
Data
Analytics.
12 marks of each
assignment
designed with
rubrics
One Per
Unit
6 marks Graded
2 Exam 20 marks for one
MST
2 per
semester
20 marks Graded
3 Quiz/Test 12 marks for
each test
One per
Unit
4 marks Graded
4 Homework NA One per
lecture
topic (of 2
questions)
Non-Graded:
Engagement Task
Non graded
5 Discussion
Forum
NA One per
Chapter
4 marks Graded
6 Presentation NA NA NA Non graded
7 Attendance
and
NA NA 2 marks Graded

5. Engagement
Score on BB
8 Analysis of
Business
School
4 marks of each
analysis
1 per Unit 4 marks As applicable
to course types
depicted above
g. CO-PO Mapping
Course
Outcome
PO1 PO2 PO3 PO4 PO5 PO6
CO1 1 2
CO2 2 3
CO3 3 3 1
CO4 2 3 2
CO5 2 2 2
CO PO correlation matrix of each subject to be mapped with
High correlation (3)
Medium correlation (2)
Low correlation (1)