Statistics for Business Decisions

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

The course will enable the students to -

  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 be able to –

 

CO45:Perform common parametric and non-parametric tests

CO46: Perform simple regressions and multivariate analysis.

CO47: Interpret results produced by statistical software

CO48:Define, formulate and solve problems in a systematic approach

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: 
.
Statistical Testing: Parametric vs. Non parametric, Logic, Confidence Intervals, Power of the test, Normal Curve, Normality Test, Homogeneity of variance, Bootstrapping.
18.00
Unit II: 
.
Linear Correlation and Regression: Pearson Correlation, Spearman Correlation, Kendall Tau B, Scatter Plots, Partial correlation, Linear Regression, Logistic Regression.
18.00
Unit III: 
.
t-test: One Sample, Independent Sample, Paired t test
 
Analysis of variance: General linear Model, Key Terms, Uni-variate, Multivariate, Repeated Measures, Contrasts, Multiple pairwise comparisons, Main effects, conditional means.
18.00
Unit IV: 
.
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 V: 
.
Advanced Analysis: Factor Analysis, Cluster Analysis, Reliability Analysis, Cronbach Alpha.
Essential Readings: 
1. James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3 rd Edition.
2. Mervyn(2015), SAS Data Analysis, Springer (SIE) Publishing House.
3. Venkat Reddy Konasani and Shailendra Kadre (2015), Practical Business Analytics Using SAS: A Hands-on Guide, Dreamtech Press.
4. A. Rajathi & P. Chandran (2012), SPSS for You, mjp publishers.
5. Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani (2011), Basic of Statistics &; SPSS, create space independent publishing platform.
6. Robert H. Carver (2013), Doing Data Analysis with SPSS version 18.0, Cengage publishers, 5 th edition.
7. S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers, 2 nd edition.
Academic Year: 
2019-2020
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