Statistics for Business Decisions

Paper Code: 
ATG/BSG/FSG/MMC/MED 225
Credits: 
6
Contact Hours: 
90.00
Max. Marks: 
100.00
Objective: 
  1. Equip students with practical skills that are necessary for preparing data, performing statistical analysis and presenting analysis results
  2. Emphasis will be placed on the ability to use modern statistical software to perform these tasks on real datasets.

 

Course Outcomes (Cos):

 

Course

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

ATG / BSG / FSG 225

Statistics for Business Decisions (Practical)

The students will–

 

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.

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Team teaching

 

Learning activities for the students:

 Field activities, Presentation, Giving tasks

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: 

1. James B Cunningham, Using SPSS: An interactive hands- on Approach, Peacock publisher.
2. Mervyn, SAS Data Analysis, Springer (SIE) Publishing House.
3. Venkat Reddy Konasani and ShailendraKadre,Practical Business Analytics Using SAS: A Hands-on Guide,Dreamtech Press.
4. A. Rajathi& P. Chandran, SPSS for You, mjp publishers.
5. Seyed Reza HashemianRahaghi, Farnaz Abed Ashtiani ,Basic of Statistics & SPSS, create space independent publishing platform.
6. Robert H. Carver ,Doing Data Analysis with SPSS version 18.0, Cengage publishers.
7. S. AjaiGaur ,Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers.

Academic Year: 
2021-2022
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