STATISTICS FOR BUSINESS DECISIONS

Paper Code: 
24FSG225
Credits: 
6
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

24ATG/24BS/24FSG225

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.

e-Resources:
1. https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-4...
2. http://ww1.shodhganga.com/
3. https://shodhgangotri.inflibnet.ac.in/
4. https://www.scopus.com/home.uri
5. http://www.e-book.com.au/freebooks.htm
6. https://www.doaj.org/

Academic Year: 
2024-2025
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