Statistics in Action, Analysis of Variance and ANOVA CD Package : Understanding a World of Data

by Ann E. Watkins (California State University-Northridge )

• ISBN13: 9780470413296
• ISBN10: 0470413298
• Edition: 1
• Format: Hardcover
• Copyright: 2008-06-01
• Publisher: Wiley

Summary

Statistics in Action teaches a modern approach to statistics that uses graphing calculators or statistical software and allows readers 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; readers will have to be thoughtful as they paruse the text. An activity introduces each major topic, allowing readers 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.

Table of Contents

A Note to Students from the Authors	p. vii
A Case Study of Statistics in Action	p. 2
Disctimination in the Workplace: Data Exploration	p. 4
Discrimination in the Workplace: Inference	p. 11
Exploring Distributions	p. 22
The Shapes of Things: Viusalizing Distributions	p. 24
Graphical Displays for Distributions	p. 38
Measures of Center and Spread	p. 53
The Normal Distribution	p. 79
Relationships Between Two Quantitative Variables	p. 100
Scatterplots	p. 102
Getting a Line on the Pattern	p. 113
Correlation: The Strength of a Linear Trend	p. 135
Diagnostics: Looking for Features That the Summaries MIss	p. 154
Shape-Changing Transformations	p. 171
Sample Surveys and Experiments	p. 208
Why Take Samples, and How Not To	p. 211
Randomizing: Playing it Safe by Taking Chances	p. 223
Experiments and Inference about Cause	p. 234
Dsigning Experiments to Reduce Variability	p. 249
Sampling Distributions	p. 266
Sampling from a Population	p. 268
Generating Sampling Distributions	p. 274
Sampling Distribution of the Sample Mean	p. 284
Sampling Distribution of the Sample Proportion	p. 300
Sampling Distribution of the Sum and Difference	p. 311
Probability Models	p. 326
Sample Spaces with Equally Likely Outcomes	p. 328
The Addition Rule and Disjoint Events	p. 339
Conditional Probability	p. 348
Independent Events	p. 364
Probability Distributions	p. 378
Random Variables and Expected Value	p. 380
The Bionmial Distribution	p. 391
The Geometric Distribution	p. 400
Inference for Proportions	p. 412
Estimating a Proportion with Confidence	p. 414
Testing a Proportion	p. 432
A Confidence Interval for teh Difference fo Two Proportions	p. 453
A Significance Test for teh Difference fo Two Proportions	p. 463
Inference for Means	p. 478
Toward a Confidence Inerval for a Mean	p. 480
Toward a Significance Test for a Mean	p. 492
When You Estimate : The t-Distribution	p. 503
The Effect of Long Tails and Outliers	p. 517
INference for the Difference Between Two Means	p. 528
Paired Comparison	p. 547
Chi-Square Tests	p. 576
Testing a Probability Model: The Chi-Square Goodness-of-Fit Test	p. 578
The Chi-Square Test of Homogeneity	p. 592
Inference for Regression	p. 628
Variation in teh Estimated Slope	p. 631
Making Inferences about Slopes	p. 643
Transforming for a Better Fit	p. 658
Statistics in Action: Case Studies	p. 678
Mum's the Word!	p. 680
Baseball: Does Money Buy Success?	p. 683
Martin v. Westvaco Revisited: Testing for Possible Employment Discrimination	p. 690
Appendix: Statistical Tables	p. 699
Standard Normal Probabilities	p. 699
t-Distribution Critical Values	p. 701
Chi-Square Distribution Critical Values	p. 702
Random Digits	p. 703
Glossary	p. 704
Brief Answers to Selected Problems	p. 712
Index	p. 743
Photo Credits	p. 752
Table of Contents provided by Publisher. All Rights Reserved.