Coming soon
Statistics for Business Decisions
The course will enable 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):
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Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Paper Code |
Paper Title |
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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 |
- Statistical Testing: Parametric vs. Non parametric.
- Parametric Tests- t-test: One Sample, Independent Sample, Paired t test.
- 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.
- 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.
- Regression: Assumptions, Linear Regression, Multiple Regression
- Advanced Analysis: Factor Analysis, Principal Component Method, Confirmatory Factor Analysis.
