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Specially designed for nonmathematics majors, this study guide thoroughly reviews the math needed to understand statistics. And it includes--and solves step by step--scores of the kinds of problems that come up in such fields as anthropology, biology, business, earth sciences, government, medicine, psychology, and sociology. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self testing.
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Table of Contents
Mathematics Required for Statistics.
Characteristics of the Data.
Populations, Samples, and Statistics.
Descriptive Statistics: Organizing the Data Into Tables.
Descriptive Statistics: Graphing the Data.
Descriptive Statistics: Measures of Central Tendency, Average Value, and Location.
Descriptive Statistics: Measures of Dispersion.
Probability: The Classical, Relative Frequency, Set Theory, and Subjective Interpretations.
Probability: Rules for Multiplication and Division, Marginal Probabilities and Bayes' Theorem, Tree Diagrams and Counting Rules.
Random Variables, Probability Distributions, Cumulative
Distribution Functions, and Expected Values.