Cengage Learning | 2012 - 14 ª edição | 753 páginas | rar - pdf |12,2 Mb
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Used by hundreds of thousands of students, INTRODUCTION TO PROBABILITY AND STATISTICS, Fourteenth 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 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. 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, this text equips you with a firm foundation in statistical concepts, as well as the tools to apply them to the world around you.
Contents
INTRODUCTION 1
DESCRIBING DATA WITH GRAPHS 7
DESCRIBING DATA WITH NUMERICAL MEASURES 50
DESCRIBING BIVARIATE DATA 94
PROBABILITY AND PROBABILITY DISTRIBUTIONS 123
SEVERAL USEFUL DISCRETE DISTRIBUTIONS 175
THE NORMAL PROBABILITY DISTRIBUTION 209
SAMPLING DISTRIBUTIONS 242
LARGE-SAMPLE ESTIMATION 281
LARGE-SAMPLE TESTS OF HYPOTHESES 324
INFERENCE FROM SMALL SAMPLES 364
THE ANALYSIS OF VARIANCE 425
LINEAR REGRESSION AND CORRELATION 482
MULTIPLE REGRESSION ANALYSIS 530
ANALYSIS OF CATEGORICAL DATA 574
NONPARAMETRIC STATISTICS 606
APPENDIX I 655
DATA SOURCES 688
ANSWERS TO SELECTED EXERCISES 700
INDEX 714






