Contents: 1. Introduction. 2. Descriptive Study of Data. 3. Elements of Probability. 4. Random Variables and Probability Distributions. 5. Distributions for Counts.6. Basic Concepts of Testing Hypotheses. 7. The Normal Distribution and Random Samples. 8. Inferences about a Population. 9. Comparing Two Treatments.10. Regression Analysis: Simple Linear Relation. 11. Regression Analysis: Model Checking and Multiple Linear Regression. 12. Correlation: A Measure of Linear Relationship. 13. Analysis of Categorized Data. 14. Design of Experiments and Analysis of Variance. 15. Nonparametric Inference. 16. Sample Surveys.

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