Coming soon
Statistics for Business Decisions
The course will enable the students to -
- Equip students with practical skills that are necessary for preparing data, performing statistical analysis and presenting analysis results
- 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 |
|
PaperCode |
Paper Title |
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ATG / BSG / FSG 225 |
Statistics for Business Decisions |
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 |
Statistical Testing: Parametric vs. Non parametric, Logic, Confidence Intervals, Power of the test, Normal Curve, Normality Test, Homogeneity of variance, Bootstrapping
Linear Correlation and Regression: Pearson Correlation, Spearman Correlation, Kendall Tau B, Scatter Plots, Partial correlation, Linear Regression, Logistic Regression
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
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
Advanced Analysis: Factor Analysis, Cluster Analysis, Reliability Analysis, Cronbach Alpha
1. James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd 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 HashemianRahaghi, Farnaz Abed Ashtiani (2011), Basic of Statistics & SPSS, create space independent publishing platform.
1. Robert H. Carver (2013), Doing Data Analysis with SPSS version 18.0, Cengage publishers, 5th edition.
2. S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers, 2nd edition.
