Course Outline

1. Nature and Purpose of Statistics, Random Sampling and Random Numbers
2. Processing of Samples, Mean, Variance and Estimation of Parameters
3. Experiments, Outcomes and Events
4. Permutations and Combinations
5. Introduction to Probability, Conditional Probability, Independent Events
6. Random Variables and Probability Distributions
7. Mean and Variance of a Distribution
8. Binomial, Poisson, Hyper-Geometric Distributions
9. Normal Distribution
10. Distribution of Several Random Variables
11. Confidence Intervals, Testing of Hypothesis and Decisions
12. Goodness of Fit, X-Square Test

Text Books

1. Ronald E. Walpole, "Introduction to Statistics", Macmillan Publishing Co., Inc., 1982