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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Read, Study, and Practice
Students learn course concepts using the complete online eTextbook, flashcards, crossword puzzles, practice questions, videos, and animations. Organized by learning objective, students can filter for relevant learning resources based on what they need to study most and print any section of the eTextbook.
ORION Adaptive Practice (when available)
Every student has a different starting point, and adaptive practice provides endless opportunities for practice to effectively prepare for class or quizzes and exams. Active retrieval of information with practice questions is proven to improve retention of information better than re-reading or reviewing the material, and students who use adaptive practice to prepare for exams do significantly better than those who do not. Students begin with a quick, chapter-level diagnostic to determine their initial level of understanding, and they can use the dashboard and quick reports to see what topics they know and don’t know.
Assignments
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Instructors can select from extensive and reliable question banks to create and deploy reading, practice, homework, pre-post lectures, and assessment assignments. This course includes essay, label drag-and-drop, multiple choice, text entry, and true-/false question types.
Gradebook
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Instructors have insights into student performance at the granular question attempt and can track trends by individual student, assignment, or learning objective. Flexible policies allow instructors to change points, set assignment weighing policies, extend individual due dates, or drop the lowest grade.
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
Glossary
Brief Answers to Practice Problems and Selected Exercises