STATISTICS FOR BUSINESS DECISIONS (Practical)

Paper Code: 
25FSG225
Credits: 
06
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to collect and analyze data analysis using software applications, interpretation and reporting of results.

Course Outcomes: 

Course

Learning outcome

(at course level)

Learning and teaching strategies

Assessment Strategies

Course

Code

Course

title

25ATG/25BS/25FSG225

Statistics for Business Decisions

(Practical)

CO55: Examine the basic concept of common parametric and non-parametric tests.

CO56: Appraise simple regressions and multivariate analysis.

CO57: Organize and appraise the results produced by statistical software

CO58: Examine and Appraise different non parametric tests.

CO59: Organize and evaluate various techniques of advanced analysis for research work.

CO60: Contribute effectively in course-specific interaction

Approach in Teaching: Interactive Lectures, Discussion, Tutorials, Problem Solving Sessions & Presentations

Learning activities for the students: Self-learning assignments, Case Study Analysis,  Class Presentations (Individual & Group)

Continuous Assessment Test, Semester End Examinations, Quiz, Solving Numerical Problems, Assignments,

Individual & Group Projects
   
   
   

 

18.00
Unit I: 
Statistical Testing

● Statistical Testing: Parametric vs. Nonparametric.
● Parametric Tests: t-test, One Sample, Independent Sample, Paired t test.

18.00
Unit II: 
Parametric Testing Analysis of variance

Assumptions of One Way ANOVA, Testing for differences in mean between the group, Measure of Association, Assumption of Two way ANOVA, Procedure for Testing Two Way ANOVA.

18.00
Unit III: 
Non Parametric Tests

● Mann Whitney U test, Wilcoxon Signed ranks test, Kruskal Wallis Test, Friedman Test.
● Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit.

18.00
Unit IV: 
Regression Analysis

● Assumptions
● Linear Regression
● Multiple Regression

18.00
Unit V: 
Advanced Analysis

Factor Analysis, Principal Component Method, Confirmatory Factor Analysis.

Essential Readings: 

1. Andy Field, Discovering Statistics Using Ibm Spss Statistics,Sage Publications
2. Kiran Pandya, Smruti Bulsari, Sanjay Sinha, Spss In Simple Steps, Dreamtech Press
3. A. Rajathi & P. Chandran (2012), Spss For You, Mjp Publishers.
4. Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using Spss, Wiley

References: 

1. S. Ajai Gaur (2009), Statistical Methods For Practice & Research: A Guide To Data Analysis Using Spss, Sage Publishers.
2. Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic Of Statistics & Spss, Create Space Independent Publishing Platform.
3. Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, Spss Statistics For Data Analysis And Visualization, Wiley
4. James B Cunningham (2011), Using Spss: An Interactive Hands- On Approach, Peacock Publisher, 3rd Edition.

Academic Year: 
2025-2026
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