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Synopsis
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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McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide
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.