Schaum's Outline of Elements of Statistics I:

Specially designed for nonmathematics majors, this user-friendly tool for learning statistics begins by reviewing all the math needed. Providing a complete introduction to statistics for students in a variety of fields, this guide reinforces learning with fully-solved problems that arise in such areas as anthropology, biology, business, government, medicine, psychology and sociology. The clear, step-by-step presentation and question-and-answer format make learning easier, important points memorable and higher grades well within reach.

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.

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Schaum's Outline of Elements of Statistics I: Descriptive Statistics and Probability

Summary

Table of Contents

Supplemental Materials