Introduction to probability and statistics / William Mendenhall, III, 1925-2009, Robert J. Beaver, University of California, Riverside, Emeritus, Barbara M. Beaver, University of California, Riverside, Emerita.
By: Mendenhall, William [author.].
Contributor(s): Beaver, Robert J [author.] | Beaver, Barbara M [author.].
Publisher: Australia : Cengage, [2020]Edition: Fifteen edition. Metric edition.Description: xxi, 760 pages : color illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780357114469.Other title: Introduction to probability & statistics [Cover title] | Probability and statistics.Subject(s): Mathematical statistics | ProbabilitiesDDC classification: 519.5 M52| Item type | Current location | Collection | Call number | Status | Date due | Barcode |
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Books
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College Library General Circulation Section | GC | GC 519.5 M52 2020 (Browse shelf) | Available | HNU004339 |
Revised edition of the authors' Introduction to probability and statistics, [2013]
Includes bibliographical references and 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 Education Bachelor of Secondary Education major in Mathematics
In English
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