Statistics: From Data to Decision, 2nd Edition

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Statistics: From Data to Decision, 2nd Edition

By Ann E. Watkins, Richard L. Scheaffer, George W. Cobb

Statistics: From Data to Decision teaches statistics with a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data analysis rather than following recipes for calculations. This gives students a more realistic understanding of both the theoretical and practical applications of statistics, giving them the ability to master the subject.

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Chapter 1. Statistical Reasoning: Investigating a Claim of Discrimination
Chapter 2. Exploring Distributions of Data
Chapter 3. Relationship between Two Quantitative Variable
Chapter 4. Sample Surveys and Experiments
Chapter 5. Probability Models
Chapter 6. Probability Distributions
Chapter 7. Sampling Distributions
Chapter 8. Inference for a Proportion
Chapter 9. Comparing Two Populations: Inference for the Difference of Two Proportions
Chapter 10. Inference for Means
Chapter 11. Comparing Two Populations: Inference for the Difference of Two Means
Chapter 12. Chi-Square Tests
Chapter 13. Inference for Regression
Chapter 14. One-Way Analysis of Variance
Chapter 15. Multiple Regression
Chapter 16. Martin vs. Westvaco Revisited: Testing for Possible Discrimination in the Workplace

Table A: Standard Normal Probabilities
Table B: t-Distribution Critical Values
Table C: x2 Critical Values
Table D: F-Distribution Critical Values for α=0.05
Table E: Random Digits

Brief Answers to Practice Problems and Selected Exercises

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