Introduction to Probability and Statistics

by Mendenhall, William; Beaver, Robert J.; Beaver, Barbara M.

• ISBN13: 9780495389538
• ISBN10: 0495389536
• Additional ISBN(s): 9780534418700, 9781133103752
• Edition: 13th
• Format: Hardcover
• Copyright: 2008-02-11
• Publisher: Duxbury Press
• More Book Details

Summary

Used by hundreds of thousands of students, market-leading INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, blends proven coverage with new innovations to ensure you gain a solid understanding of statistical concepts--and see their relevance to your everyday life. The new thirteenth edition retains the text’s straightforward presentation and traditional outline for descriptive and inferential statistics while incorporating modern technology--including computational software and interactive visual tools--to help you master statistical reasoning and skillfully interpret statistical results. Exciting learning tools like MyPersonal Trainer, MyApplet, and MyTip ensure that you thoroughly understand chapter material and give you hands-on experience putting it into action. Drawing from decades of classroom teaching experience, the authors clearly illustrate how to apply statistical procedures as they explain how to describe real sets of data, what statistical tests mean in terms of practical application, how to evaluate the validity of the assumptions behind statistical tests, and what to do when statistical assumptions have been violated. Statistics can be an intimidating course, but with this text you will be well prepared. With its thorough explanations, insightful examples, practical exercises, and innovative technology features, INTRODUCTION TO PROBABILITY AND STATISTICS, Thirteenth Edition, equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.

Table of Contents

Introduction: Train Your Brain for Statistics

Describing Data With Graphs

Describing Data With Numerical Measures

Describing Bivariate Data

Probability and Probability Distributions

Several Useful Discrete Distributions

The Normal Probability Distribution

Sampling Distributions

Large-Sample Estimation

Large-Sample Tests of Hypotheses

Inference From Small Samples

The Analysis of Variance

Linear Regression and Correlation

Multiple Regression Analysis

Analysis of Categorical Data

Nonparametric Statistics

Tables

Answers to Selected Exercises

Table of Contents provided by Publisher. All Rights Reserved.