Syllabus
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Course Code: MBA -106 Course Name: Statistics and Analytics for Decision Making |
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| MODULE NO / UNIT | COURSE SYLLABUS CONTENTS OF MODULE | NOTES |
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| 1 | Probability Theory; Classical, relative and subjective probability, Addition and multiplication probability models; Conditional probability and Baye’s Theorem. Probability Distributions: Binomial, Poisson, and Normal distributions: characteristics and applications. Application of Probability and probability distributions in business decision making. Application of Sampling and sampling methods in business decision-making; Sampling and non- sampling errors; Law of Large Number and Central Limit Theorem; Sampling distributions and their characteristics. Statistical Estimation and Testing; Point and interval estimation of population mean, proportion, and variance; Statistical testing of hypothesis and errors; Large and small sampling tests, Non—Parametric Tests: Chi-square tests; Sign tests; Wilcoxon Signed— Rank tests; Kruskal—Wallis H- test. Data Analysis using the Microsoft Excel and the SPSS. |
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