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Table of Contents

(NOTE: Each chapter begins with Where You've Been and Where You're Going, and includes an arrangement of some of the following: Chapter Case Study; Chapter Technology Project; Chapter Summary; Chapter Review Exercises; Chapter Quizzes; and Cumulative Tests.)

1. Introduction to Statistics.

An Overview of Statistics. Data Classification. Experimental Design.

2. Descriptive Statistics.

Frequency Distributions and Their Graphs. More Graphs and Displays. Measures of Central Tendency. Measures of Variation. Measures of Position.

3. Probability.

Basic Concepts of Probability. Conditional Probability and the Multiplication Rule. The Addition Rule. Counting Principles.

4. Discrete Probability Distributions.

Probability Distributions. Binomial Distributions. More Discrete Probability Distributions.

5. Normal Probability Distributions.

Introduction to Normal Distributions. The Standard Normal Distribution. Normal Distributions: Finding Probabilities. Normal Distribution: Finding Values. Normal Approximations to Binomial Distributions.

6. Confidence Intervals.

Confidence Intervals for the Mean (Large Samples). Confidence Intervals for the Mean (Small Samples). Confidence Intervals for Population Proportions. Confidence Intervals for Variance and Standard Deviation.

7. Hypothesis Testing with One Sample.

Introduction to Hypothesis Testing. Hypothesis Testing for the Mean (Large Samples). Hypothesis Testing for the Mean (Small Samples). Hypothesis Testing for Proportions. Hypothesis Testing for the Variance and Standard Deviation.

8. Hypothesis Testing with Two-Samples.

Testing the Difference Between Means (Large Independent Samples). Testing the Difference Between Means (Small Independent Samples). Testing the Difference Between Means (Dependent Samples). Testing the Difference Between Proportions.

9. Correlation and Regression.

Correlation. Linear Regression. Measures of Regression and Prediction Intervals. Multiple Regression.

10. Chi-Square Tests and the F-Distribution.

Goodness of Fit. Independence. Comparing Two Variances. Analysis of Variance.

11. Nonparametric Tests.

The Sign Test. The Wilcoxon Tests. The Kruskal-Wallis Test. Rank Correlation.

Get Elementary Statistics: Picturing the World, 2nd Edition by Ron Larson, Penn State University at Erie Betsy Farber, Bucks County Community College

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