Statistics for Managers

Syllabus

Course Code: 22MBA14

STATISTICS FOR MANAGERS

Module 1                                                                                                                                     (8 Hours)

Introduction to Statistics: Meaning and Definition, Importance, Types, Measures of Central Tendency -Arithmetic Mean, Geometric Mean, Harmonic Mean, Median, Quartiles, Deciles, Percentiles, Mode. Measures of Dispersion -Range, Quartile Deviation, Mean Deviation, Standard Deviation, Variance, Coefficient of Variation. (Theory and Problem).

Module 2                                                                                                                                     (7 Hours)

Correlation and Regression: Correlation - Significance, Types, and Methods, Scatter Diagram, Karl Pearson Correlation, Spearman’s Rank Correlation, Regression, Significance, Linear Regression Analysis, Types of Regression Models, Lines of Regression. (Theory and Problem).

Module-3                                                                                                                                    (9 Hours)

Probability Distribution: Concept of Probability, Counting Rules for Determining Number of Outcomes - Permutation and Combination, Rules of Probability- Addition and Multiplication, Baye’s Theorem. Concept of Probability Distribution, Theoretical Probability Distributions - Binomial, Poisson, Normal (Problems only on Binomial, Poisson and Normal). (Theory and Problem).

Module 4                                                                                                                                     (8 Hours)

Time Series Analysis: Objectives, Variations in Time Series. Measurement of Trend, Graphic Method, Moving Average Method, Semi-Average Method, Least Square Method. Measurement of Seasonal Variations- Method of Simple Averages, Ratio to Trend Method-Ratio to Moving Average Method, Link Relative Method. (Theory and Problem).

Module 5                                                                                                                                     (8 Hours)

Hypotheses Testing: Definition, Types, Procedure for Testing, Errors in Hypotheses Testing. Parametric and Non-Parametric Tests -t-Test, z-Test, f-Test, Chi-Square Test, u-Test, K-W Test (Problems on all Tests).Analysis of Variance (Theory Only).

Module 6                                                                                                                                   (10 Hours)

Computer Lab for Statistics: SPSS: Overview of SPSS, Creating, Saving and Editing Files, Importing Files from Other Formats. Transforming Variables - Compute, Multiple Responses. Organization and Presentation of Information - Measures of Central Tendency and Variability, Frequency Distributions. Charts and Graphs, Hypotheses Testing Using Means and Cross-Tabulation, Paired t, Independent sample t, Chi-Square. Correlation, Regression Analysis, Linear, Logistic, Analysis of Variance- One Way ANOVA, ANOVA in Regression.