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Introduction to probability and statistics / William Mendenhall, III, 1925-2009, Robert J. Beaver, Barbara M. Beaver.

By: Mendenhall, William III, 1925-2009.
Contributor(s): Beaver, Robert J | Beaver, Barbara M.
Publisher: Boston, Massachusetts, USA : Cengage Learning, Inc., ©2020Edition: 15th edition.Description: xxi, 760 pages : color illustrations ; 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781337554428 (hbk).Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.2 M52 2020
Contents:
1. Describing Data with Graphs. -- 2. Describing Data with Numerical Measures. -- 3. Describing Bivariate Data. -- 4. Probability. -- 5. Discrete Probability 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. Simple Linear Regression and Correlation. -- 13. Multiple Linear Regression Analysis. -- 14. Analysis of Categorical Data. -- 15. Nonparametric Statistics.
Summary: Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, Metric Edition gives you a solid understanding of statistical concepts--and their relevance to your everyday life. The new edition combines straightforward explanations with integrated modern technology--including computational software and graphing calculators--to help you master statistical reasoning and skillfully interpret statistical results. Learn 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 this text reinforces a common-sense approach to statistical descriptions and procedures and equips you with a firm foundation in statistical concepts and the tools to apply them to the world around you
Item type Current location Collection Call number Status Date due Barcode
Books Books College Library
General Circulation Section 		GC GC 519.2 M52 2020 (Browse shelf) Available HNU001075

"Print Number: 01. Print year: 2018"--Title page verso.
Previous edition: 2013.

Includes index.

1. Describing Data with Graphs. --
2. Describing Data with Numerical Measures. --
3. Describing Bivariate Data. --
4. Probability. --
5. Discrete Probability 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. Simple Linear Regression and Correlation. --
13. Multiple Linear Regression Analysis. --
14. Analysis of Categorical Data. --
15. Nonparametric Statistics.

Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, Metric Edition gives you a solid understanding of statistical concepts--and their relevance to your everyday life. The new edition combines straightforward explanations with integrated modern technology--including computational software and graphing calculators--to help you master statistical reasoning and skillfully interpret statistical results. Learn 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 this text reinforces a common-sense approach to statistical descriptions and procedures and equips you with a firm foundation in statistical concepts and the tools to apply them to the world around you

College of Arts and Sciences Bachelor of Secondary Education major in Mathematics

Text in English

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