Statistics for Management MBA First Semester Anna University

                                   Syllabus

MB25C01: STATISTICS FOR MANAGEMENT

Probability and Probability Distributions: Basic Definitions and Rules for Probability, Conditional Probability Independence of Events, Baye‘s Theorem, (Theory and Problem) and Random Variables, Probability Distributions: Binomial, Poisson, Uniform and Normal Distributions (Problem).

Sampling and Estimation Techniques: Introduction to Sampling Distributions, Sampling Distribution of Mean and Proportion, Application of Central Limit Theorem (Theory and Problem), Sampling Techniques (Problem). Estimation: Point and Interval Estimates for Population Parameters of Large Sample and Small Samples, Determining the Sample Size (Problem).

Hypothesis Testing – Parametric Methods (Problem): Hypothesis Testing: one Sample and Two Sample Tests for Means and Proportions of Large Samples (z- test), One Sample and Two Sample Tests for Means of Small Samples (t-test), F-Test for Two Sample Standard Deviations. ANOVA One and Two Way

Hypothesis Testing – Non-Parametric Methods (Problem): Chi-Square Test for Single Sample Standard Deviation. Chi-Square Tests for Independence of Attributes and Goodness of Fit. Sign Test for Paired Data. Rank Sum Test. Kolmogorov-Smirnov, Test for Goodnessof fit, Comparing two Populations. Mann, Whitney U Test and Kruskal Wallis Test. One Sample Run Test.

Correlation and Regression Analysis (Problem): Correlation, Coefficient of Determination, Rank Correlation, Regression, Estimation of Regressionline, Method of Least Squares, Standard Error of estimate.

Business Analytics Applications & Software Tools: Application of Statistics - Data Visualization and Decision Making - Case Studies using Excel/SPSS/R, Interpretation of output - Business Scenarios - Applying Regression, Correlation, and Hypothesis Tests - Introduction to Data-Driven Storytelling -Dashboarding Techniques (Theory and Problem)