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Watkins, Ann E.
Statistics in Action
Understanding a World of Data, Analysis of Variance and ANOVA CD Package

- August 2008
172,- Euro
2008. 752 Seiten, Hardcover
ISBN-10: 0-470-41329-8
ISBN-13: 978-0-470-41329-6 - John Wiley & Sons

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Langtext
Statistics in Action teaches a modern approach to statistics that uses graphing calculators or statistical software and allows students and instructors to place more emphasis on statistical concepts and data analysis than on following recipes for calculations. The text is intended to be used as much as a dialog as a reference; students will have to be thoughtful as they read. An activity introduces each major topic, allowing students to experience the major concepts of statistical thinking before going on to confirm them through further analysis (often involving simulation) and practice with data. Statistics in Action gives the design and analysis of both experiments and surveys an honest treatment, rather than forcing them into overly simplistic models.

The authors are well known for their work in helping the introductory statistics course evolve into one that emphasizes activity-based learning of statistical concepts while reflecting modern statistical practice. This book is a product of what they have learned from many others who have been actively involved along with them in the MAA's STATS project and Focus Group on Statistics, the ASA's Quantitative Literacy projects, and the College Board's AP Statistics course. This text is written in the spirit of the recommendations from these projects.

Aus dem Inhalt
A Note to Students from the Authors vii
1 A CASE STUDY OF STATISTICS IN ACTION 2
1.1 Disctimination in the Workplace: Data Exploration 4
1.2 Discrimination in the Workplace: Inference 11
2 EXPLORING DISTRIBUTIONS 22
2.1 The Shapes of Things: Viusalizing Distributions 24
2.2 Graphical Displays for Distributions 38
2.3 Measures of Center and Spread 53
2.4 The Normal Distribution 79
3 RELATIONSHIPS BETWEEN TWO QUANTITATIVE VARIABLES 100
3.1 Scatterplots 102
3.2 Getting a Line on the Pattern 113
3.3 Correlation: The Strength of a Linear Trend 135
3.4 Diagnostics: Looking for Features That the Summaries MIss 154
3.5 Shape-Changing Transformations 171
4 SAMPLE SURVEYS AND EXPERIMENTS 208
4.1 Why Take Samples, and How Not To 211
4.2 Randomizing: Playing it Safe by Taking Chances 223
4.3 Experiments and Inference about Cause 234
4.4 Dsigning Experiments to Reduce Variability 249
5 SAMPLING DISTRIBUTIONS 266
5.1 Sampling from a Population 268
5.2 Generating Sampling Distributions 274
5.3 Sampling Distribution of the Sample Mean 284
5.4 Sampling Distribution of the Sample Proportion 300
5.5 Sampling Distribution of the Sum and Difference 311
6 PROBABILITY MODELS 326
6.1 Sample Spaces with Equally Likely Outcomes 328
6.2 The Addition Rule and Disjoint Events 339
6.3 Conditional Probability 348
6.4 Independent Events 364
7 PROBABILITY DISTRIBUTIONS 378
7.1 Random Variables and Expected Value 380
7.2 The Bionmial Distribution 391
7.3 The Geometric Distribution 400
8 INFERENCE FOR PROPORTIONS 412
8.1 Estimating a Proportion with Confidence 414
8.2 Testing a Proportion 432
8.3 A Confidence Interval for teh Difference fo Two Proportions 453
8.4 A Significance Test for teh Difference fo Two Proportions 463
9 INFERENCE FOR MEANS 478
9.1 Toward a Confidence Inerval for a Mean 480
9.2 Toward a Significance Test for a Mean 492
9.3 When You Estimate : The t-Distribution 503
9.4 The Effect of Long Tails and Outliers 517
9.5 INference for the Difference Between Two Means 528
9.6 Paired Comparison 547
10 CHI-SQUARE TESTS 576
10.1 Testing a Probability Model: The Chi-Square Goodness-of-Fit Test 578
10.3 The Chi-Square Test of Homogeneity 592
11 INFERENCE FOR REGRESSION 628
11.1 Variation in teh Estimated Slope 631
11.2 Making Inferences about Slopes 643
11.3 Transforming for a Better Fit 658
12 STATISTICS IN ACTION: CASE STUDIES 678
12.1 Mum's the Word! 680
12.2 Baseball: Does Money Buy Success? 683
12.3 Martin v. Westvaco Revisited: Testing for Possible Employment Discrimination 690
Appendix: Statistical Tables 699
Table A: Standard Normal Probabilities 699
Table B: t-Distribution Critical Values 701
Table C: Chi-Square Distribution Critical Values 702
Table D: Random Digits 703
Glossary 704
Brief Answers to Selected Problems 712
Index 743
Photo Credits 752


 
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