Role of Statistics in Decision Making, Collecting & Tabulating Data – Measure of Central Tendency and Dispersion in Frequency Distribution, Probability Theory : Classical, Objective & Subjective Approach-Addition, Multiplication & Bayes Theorem – Applications-Binomial, Poisson and Normal – Decision Making Under Certainty, Uncertainty and Risk – Sampling and Sampling Distribution : Types of Sampling – Random Sampling – Concept of Standard Error Central Limit Theorem. Testing of Hypotheses, Significance Level- Type I & Type II Error – One-Two Tail Tests-Hypothesis Testing of Means, Variance & Proportions – Chi-Square Tests- Goodness of Fit, Independence of attributes, Correlation and Regression Analysis