Statistics for Business Decisions

Paper Code: 
CBBA 401
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to -

1. Enable the students to acquire knowledge of all the statistical aspects for business decisions.

2. Develop the understanding of the business problems in the quantitative manner and analyze them using statistical tools.

Course Outcomes (COs):

 

Course

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

CBBA 401

Statistics for Business Decisions

Upon completion of the paper, student will:

CO133: Understand the concept of correlation.

 CO134: Understand the

Application of regression analysis.

 

CO135: Knowledge of the theory of probability and probability distribution.

 

 CO136: Develop a hypothesis and test it.

CO137: Analyze the collected data using various statistical tools and techniques

 

CO138: Construct a research

report.

Approach in teaching:

Interactive Hours, Discussion, Tutorials, Reading assignments

 

Learning activities for the students:

Self learning assignments, Effective questions, Giving tasks

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects
 
12.00
Unit I: 
Correlation Analysis:

Correlation Analysis: Meaning and significance. Correlation and Causation, Types of correlation. Methods of studying simple correlation - Scatter diagram, Karl Pearson’s coefficient of correlation, Spearman’s Rank correlation coefficient, Concurrent correlation. Regression Analysis: Meaning and significance, Regression vs. Correlation. Linear Regression, Regression lines (X on Y, Y on X)

12.00
Unit II: 
Probability:

Probability: Meaning and need. Theorems of addition and multiplication. Conditional probability. Baye’s Theorem.
Probability Distribution: Meaning, characteristics (Expectation and variance) of Binomial, Poisson, and Normal distribution.

12.00
Unit III: 
Sampling Theory:

Sampling Theory: Parameter and Statistic, Sampling Distribution of a Statistic and Standard Error of a Statistic
Test of Hypothesis: Element and Procedure of Testing a Statistical Hypothesis, Types of Errors. Level of Significance
Test of Significance (Large Sample)- Sample Mean, Difference between two Sample Means, Difference between two Standard Deviations, Sample Proportion and Difference between two Sample Proportions.

12.00
Unit IV: 
Test of Significance (Small Sample)

Test of Significance (Small Sample): Application of Student’s t- test for Mean, Difference between two Means (Independent and Paired t-test for Difference of Means).
Chi-square test: Definition and Nature, Uses of Chi-Square Test- Test of Goodness of Fit, Test of Independence of Attributes and Test for the Population Variance.
Analysis of Variance: One-way and two-way classification.

12.00
Unit V: 
Unit V

Research report writing: Format of research report, presentation, footnote- endnote, bibliography, references.

Essential Readings: 

1. S.P. Gupta (S.P.): Statistical Methods, Sultan Chand & Sons, 34th Edition.
2. Goon, Gupta and Das: Fundamentals of Statistics
3. Snedecor and Cochran, Statistical Methods, Oxford and IBH Publishers.
4. Shukla,M.C. and Gulshan S.S., Statistics Theory and Practice, Sultan Chand and Sons, New Delhi.
5. Richard Levin & David Rubin: Statistics for management, Prentice Hall.
6. Anderson, Sweeny & Williams: Statistics for Business and Economics, South West

Academic Year: 
2021-2022
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