STATISTICS FOR BUSINESS DECISIONS (PRACTICAL)

Paper Code: 
ATG / BSG/ FSG 225
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

 
 

Upon successful completion of this course, the student will be able to:

 

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: Formulate and solve problems in a systematic approach.

CO59: Examine and Appraise different non parametric tests.

CO60: Organize and evaluate various techniques of advanced analysis for research work.

Interactive Lectures, Group Discussion, Tutorials, Reading assignments, Workshops and question preparation

 

Quiz, test, assignments, viva-voce

 

 

18.00
Unit I: 
Unit I

• Statistical Testing: Parametric vs. Non parametric.
• Parametric Tests- t-test: One Sample, Independent Sample, Paired t test.

18.00
Unit II: 
Unit II

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: 
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: 
Unit IV

• Regression: Assumptions, Linear Regression, Multiple Regression

18.00
Unit V: 
Unit V

• Advanced Analysis: Factor Analysis, Principal Component Method, Confirmatory Factor Analysis.

Essential Readings: 

ESSENTIAL READINGS
• Andy Field, Discovering Statistics Using IBM SPSS Statistics,Sage Publications
• Kiran Pandya, Smruti Bulsari, Sanjay Sinha, SPSS in Simple Steps, Dreamtech Press
• A. Rajathi & P. Chandran (2012), SPSS for You, MJP publishers.
• Lawrence M Mayers, Glenn C Gamst, A J Guarind, Performing Data Analysis Using SPSS, Wiley

References: 

SUGGESTED READINGS

·         S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.

·         Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani, Basic of Statistics & SPSS, create space independent publishing platform.

·         Keith Mc Cormick, Jesus Salcedo, Jon Peck, Andrew Wheeler, SPSS Statistics for Data Analysis and Visualization, Wiley

·         James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.

 

e-RESOURCES:

·         https://web.s.ebscohost.com/ehost/search/basic?vid=0&sid=0c7f189a-083f-49b2-8d14-1018e9b1d9a8%40redis

·         http://ww1.shodhganga.com/

·         https://shodhgangotri.inflibnet.ac.in/

·         https://www.scopus.com/home.uri

·         http://www.e-book.com.au/freebooks.htm

·         https://www.doaj.org/

 

JOURNALS:

·         Business Perspectives and Research

·         FIIB Business Review

·         Harvard Business Review

·         IUP Journal of Accounting Research

·         Jindal Journal of Business Research

·         Nirma University Journal of Business & Management Studies

·         Oorja

·         The Chartered Accountant

·         The ICFAI reader

·         The Indian Journal of Commerce

·         Vikalpa: Journal for Decision Makers

Academic Year: