Statistics For Management | MBA 1st Sem | Bangalore University

Syllabus

1.4: Statistics for Management

Module 1: Introduction to Statistics                                                                                            10 Hours

Statistical Data: Primary and Secondary Data – Sources of Data – Classification of Data - Frequency Distribution – Diagrammatic and Graphic Representation of Data – Graphs – Advantages and Limitations of Diagrams and Graphs - Tabulation: Types of Tables- Construction of One Way and Two Way Tables. Measures of Central Tendency: Mean, Median and Mode and their Implications, Measures of Dispersion: Range, Mean Deviation, Standard Deviation, Coefficient of Variation, Skewness, Kurtosis

Module 2: Correlation & Time Series                                                                                         12 Hours

Correlation Analysis: Positive and Negative Correlation, Karl Pearson’s Coefficient of Correlation, Spearman’s Rank Correlation, Concept of Multiple and Partial Correlation. Regression Analysis: Concept, Least Square fit of a Linear Regression, Two Lines of Regression, and Properties of Regression Coefficients. Time Series Analysis: Concept, Additive and Multiplicative Models, Components of Time Series. Trend Analysis: Least Square Method, Linear and Non- Linear Equations, Exponential Shooting Method, Applications in Business Decision-Making. Index Numbers: Meaning, Types of Index Numbers, Uses of Index Numbers, Construction of Price, Quantity and Volume Indices, Fixed Base and Chain Base Methods

Module 3: Probability and Probability Distribution                                                                   10 Hours

Probability: Concept of Probability and its Uses in Business Decision-Making; Addition and Multiplication Theorems; Bayes’ Theorem and its Applications. Probability Theoretical Distributions: Concept and Application of Binomial; Poisson and Normal Distributions

Module 4: Sampling Distribution and Estimation                                                                         8 Hours

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

Module 5: Testing of Hypothesis                                                                                                 12 Hours

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 – Design of Experiments. Chi-Square Test for Single Sample Standard Deviation, Chi-Square Tests for Independence of Attributes and Goodness of Fit, Rank Sum Test, Kolmogorov-Smirnov, Mann – Whitney U Test and Kruskal Wallis Test

Module 6: Decision Theory                                                                                                            8 Hours

Decision Theory – Decision Under Certainty, Decision Making Under Risk (EMV Criteria) and Decision Making Under Uncertainty. Decision Tree – Concept – Construction of Decision Tree and Analysis.