Statistics & probability & their applications

The Nature and Purposes of Statistics. Describing Samples and Populations. Probability Models. Random Variables. Random Variables, Probability Distributions, Probability Models. The Normal Distribution. Estimation, Confidence Intervals. Hypothesis Testing About the Mean and Variance of a Population. Comparing Two Populations. Prediction and Association: Regression and Correlation. Evaluation of Categorical Data: Contingency Tables. Analysis of Variance. Nonparametric Statistic. Sampling Theory. Practical Aspects of Statistics: Survey Design. Questionnaires. Appendices: Statistical Tables. Note: Renumbering. Derivation of the Binomial Distribution. Confidence Belts for Proportions. Answers. Index.