Measures of central tendency, dispersion , correlation and regression CASE 1: From the prices of shares X and Y state which share is more stable in value. CASE 2: Correlation Coefficient Data Analysis – Uni-Variate – ungrouped and grouped data measures of central Tendencies, measures of dispersion – C V percentages (problem related to business applications). Bivariate– correlation and regression – problems related to business applications

Probability – theoretical probability distributions CASE 1: Probability CASE 2: Poisson distribution Definitions – addition and multiplication Rules (only statements) – simple business application problems – probability distribution – expected value concept –– Binomial, Poison and Normal – Simple problems applied to business.

Index number and Time series analysis. CASE 1: Index Number CASE 2: Least Squares to Fit a Straight Line Basic concept of index numbers – simple and weighted index numbers – concept of weights - types of index numbers – Business index number – CPT, WPI, Sensex, Niffy, Production Index, Time series – variations in Time Series for business forecasting, fitting straight line by method of least square

Test of Hypothesis CASE 1: Chi square test CASE 2: Large sample and small sample test Hypothesis testing- Large sample test , small sample test-t test Proportion and Mean – Testing –. Chi-Square Tests

Differentiation and integration CASE 1: Application of differentiation and integration CASE 2: Revenue function and Demand function. Basic Concept of differentiation – integration – Optimization concepts – use of differentiation for optimization of business problem- Optimization