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Cover image for Introduction to probability and statistics
Title:
Introduction to probability and statistics
Personal Author:
Edition:
13th.ed.
Publication Information:
USA : Brooks/Cole 2009
Physical Description:
xxi, 746 p. : ill. ; 26 cm.
ISBN:
9780495389538

9780495389590

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30000010214889 QA276 M425 2009 Open Access Book Book
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30000010206906 QA276 M425 2009 Open Access Book Book
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30000010205984 T57.82 D67 2009 Open Access Book Book
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Summary

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
1 Describing Data With Graphs
2 Describing Data With Numerical Measures
3 Describing Bivariate Data
4 Probability and Probability Distributions
5 Several Useful Discrete Distributions
6 The Normal Probability Distribution
7 Sampling Distributions
8 Large-Sample Estimation
9 Large-Sample Tests of Hypotheses
10 Inference From Small Samples
11 The Analysis of Variance
12 Linear Regression and Correlation
13 Multiple Regression Analysis
14 Analysis of Categorical Data
15 Nonparametric Statistics
Appendix I Tables
Answers to Selected Exercises
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