Business Statistics

Module -1 Introduction to Statistics                                                                                                                                                                                                                                                      9 hours

Introduction to Statistics: Meaning and Definition, Functions, Scope and Limitations, Collection and Presentation of Data, Frequency Distribution, Measures of Central Tendency - Mean, Median, Mode, Geometric Mean, Harmonic Mean. Measures of Dispersion: Range – Quartile Deviation – Mean Deviation -Standard Deviation – Variance-Coefficient of Variance - Comparison of Various Measures of Dispersion.

Module -2 Correlation and Regression                                                                                                                7 hours

Scatter Diagram, Karl Pearson Correlation, Spearman’s Rank Correlation (One Way Table Only), Simple and Multiple Regressions (Problems on Simple Regression Only).

Module -3 Probability Distribution                                                                                                                       9 hours

Probability Distribution: Concept and Definition - Rules of Probability –Random Variables – Concept of Probability Distribution – Theoretical Probability Distributions: Binomial, Poisson, Normal and Exponential – Baye’s Theorem (No Derivation) (Problems Only on Binomial, Poisson and Normal).

Module -4 Time Series Analysis                                                                                                                             8 hours

Time Series Analysis: Objectives, Variations In Time Series - Methods Of Estimating Trend: Freehand Method - Moving Average Method - Semi-Average Method - Least Square Method. Methods of Estimating Seasonal Index: Method Of Simple Averages - Ratio To Trend Method - Ratio To Moving Average Method.

Module -5 Hypotheses                                                                                                                                               7 hours

Types, Characteristics, Source, Formulation of Hypotheses, Errors in Hypotheses. Parametric and Non-Parametric Tests- t-test, z-test, f-test, u-test, K-W Test (Problems on All Tests). Normality and Reliability of Hypothesis. Statistical Analysis- Bivariate and Multivariate Analysis- ANOVA-One-way, Two-way Classification (Theory Only).

Module-6 Computer lab for Statistics                                                                                                                10 hours

MS Excel: Functions, Formulas, Types of Errors in Excel, Data Analysis Using MS-Excel- Mean, Median, Mode, Geometric Mean, Harmonic Mean, Standard Deviation, Correlation .