Elementary Statistics : Picturing the World

by Larson, Ron; Farber, Betsy

• ISBN13: 9780132424332
• ISBN10: 0132424339
• Edition: 4th
• Format: Hardcover w/CD
• Copyright: 2009-01-01
• Publisher: Prentice Hall

Summary

For algebra-based Introductory Statistics courses. Offering the most accessible approach to statistics, with a strong visual/graphical emphasis, this book offers a vast number of examples on the premise that students learn best by "doing". The fourth edition features many updates and revisions that place increased emphasis on interpretation of results and critical thinking in addition to calculations. This emphasis on "statistical literacy" is reflective of the GAISE recommendations.

Table of Contents

(Note: Each chapter begins with Where You've Been and Where You're Going sections and concludes with Uses and Abuses, Chapter Summary, Review Exercises, Chapter Quiz, Real Statistics-Real Decisions Putting it all Together, and Technology sections.)

Introduction to Statistics

An Overview of Statistics

Data Classification

Case Study: Rating Television Shows in the United States

Experimental Design

Descriptive Statistics

Frequency Distributions and Their Graphs

More Graphs and Displays

Measures of Central Tendency

Measures of Variation

Case Study: Earnings of Athletes

Measures of Position

Probability

Basic Concepts of Probability

Conditional Probability and the Multiplication Rule

The Addition Rule

Case Study: Probability and Parking Lot Strategies

Additional Topics in Probability and Counting

Discrete Probability Distributions

Probability Distributions

Binomial Distributions

Case Study: Binomial Distribution of Airplane Accidents

More Discrete Probability Distributions

Normal Probability Distributions

Introduction to Normal Distributions and the Standard Normal Distribution

Normal Distributions: Finding Probabilities

Normal Distributions: Finding Values.Case Study: Birth Weights in America

Sampling Distributions and The Central Limit Theorem

Normal Approximations to Binomial Distributions

Confidence Intervals

Confidence Intervals for the Mean (Large Samples)

Case Study: Shoulder Heights of Appalachian Black Bears

Confidence Intervals for the Mean (Small Samples)

Confidence Intervals for Population Proportions

Confidence Intervals for Variance and Standard Deviation

Hypothesis Testing with One Sample

Introduction to Hypothesis Testing

Hypothesis Testing for the Mean (Large Samples)

Case Study: Human Body Temperature: What's Normal? Hypothesis Testing for the Mean (Small Samples)

Hypothesis Testing for Proportions

Hypothesis Testing for the Variance and Standard Deviation

Hypothesis Testing with Two Samples

Testing the Difference Between Means (Large Independent Samples)

Case Study: Oatbran and Cholesterol Level

Testing the Difference Between Means (Small Independent Samples)

Testing the Difference Between Means (Dependent Samples)

Testing the Difference Between Proportions

Correlation and Regression

Correlation

Linear Regression

Case Study: Correlation of Body Measurements

Measures of Regression and Prediction Intervals

Multiple Regression

Chi-Square Tests and the F-Distribution

Goodness of Fit

Independence

Case Study: Traffic Safety Facts

Comparing Two Variances

Analysis of Variance

Nonparametric Tests

The Sign Test

The Wilcoxon Tests

Case Study: Health and Nutrition

The Kruskal-Wallis Test

Rank Correlation

Runs Test

Alternative Presentation of the Standard Normal Distribution

Standard Normal Distribution Table (0-to-z)

Alternate Presentation of the Standard Normal Distribution

Tables

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