Introduction to probability and statistics /
Introduction to probability & statistics Probability and statistics
William Mendenhall, III, 1925-2009, Robert J. Beaver, University of California, Riverside, Emeritus, Barbara M. Beaver, University of California, Riverside, Emerita.
- Fifteen edition. Metric edition
- xxi, 760 pages : color illustrations ; 25 cm
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