Designed for self-instruction, this text is intended for students to use on their own while simultaneously taking a statistics course using a standard textbook. Then on mathematical approach maximizes the use of verbal and visual languages. The text covers such topics as Bayes' Theorem and statistical independence, probability distributions, confidence intervals, and analysis of variance.
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1. Introduction and Descriptive Statistics 2. Basic Probability 3. Probability Distributions 4. Sampling, Confidence Intervals, and Hypothesis Testing 5. Experimentation and Analysis of Variance 6. Regression Analysis Solution to the Exercise Sets
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