Statistics For Management

                                         Syllabus

                          BA4101: Statistics for Management

Unit I: Introduction                                                                                                                                 9

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

Unit II: Sampling Distribution and Estimation                                                                                    9

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

Unit III: Testing of Hypothesis - Parametric Tests                                                                               9

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.

Unit IV: Non-Parametric Tests                                                                                                               9

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 Goodness of Fit, Comparing Two Populations. Mann – Whitney U Test and Kruskal Wallis Test. One Sample Run Test.

Unit V: Correlation and Regression                                                                                                       9

Correlation – Coefficient of Determination – Rank Correlation – Regression – Estimation of Regression Line – Method of Least Squares – Standard Error of Estimate.