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This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200 fully worked examples and supplies exercises in each chapter-complete with hints and answers.
Diagrams and Tables. Measures of Location. Measures of Dispersion and Skewness. Basic Ideas of Probability. Random Variables and Their Probability Distribution. Some Standard Discrete and Continuous Probability Distributions. Approximations to the Binomial and Poisson Distributions. Linear Functions of Random Variables and Joining Distributions. Sample Populations and Point Estimation. Interval Estimation. Hypothesis Tests for the Mean and Variance of Normal Distributions. Hypothesis Tests for the Binomial Parameter p,p. Hypothesis Tests for Independence and Goodness-of-Fit. Non-Parametric Hypothesis Tests. Correlation. Regression. Elements of Experimental Design and Analysis. Quality Control Charts and Acceptance Sampling.