Elementary Statistics: Picturing the World, 1st edition

• Ron Larson
• Betsy Farber

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Overview

Each chapter in this text begins with a photographic introduction that includes real-life data. In keeping with the theme of Picturing the World, one photo from each of the Chapter Openers was used to create the 11 "upper" sides of a dodecahedron. The image was created with a computer imaging program called Softimage.

Although only six of the images are visible on the cover of this book, all 11 "upper" sides appear as the dodecahedron spins on the title screens of the electronic components that accompany our text. We like this image because it resembles our spinning planet and underscores the importance of statistics in our daily lives.

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(NOTE: Each chapter begins with Where You've Been and Where You're Going, and either 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. Applications of Normal Distributions. The Central Limit Theorem. 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 (n…ô30). Hypothesis Testing for the Mean (n…<<30). Hypothesis Testing for Proportions. Hypothesis Testing for the Variance and Standard Deviation.

8. Hypothesis Testing with Two-Samples.

Testing the Difference Between Two Means (Large Independent Samples). Testing the Difference Between Two Means (Small Independent Samples). Testing the Difference Between Two Means (Dependent Samples). Testing the Difference Between Two 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. Non-Parametric Tests.

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