The Basic Practice of Statistics /
David S. Moore, William I. Notz and Michael A. Fligner
- 8th Ed.
- New York Macmillan Education 2018
- xxiii, 775p. : ill. ; 28cm
It includes Index.
A student studying subjects like science, economics or politics should know how to crunch numbers. But getting to grips with statistics can be tricky for students. That’s where Basic Practice of Statistics comes in. Written by leaders in statistics education, this textbook teaches students how to think about and interrogate data.
It reflects the everyday practice of statistics where knowing how to interpret data is just as important as its production. The book equips students to carry out statistical procedures which they can use in their studies and future employment.
Part of the best-selling Moore family of statistics books, Basic Practice of Statistics is designed for a one-semester ‘introduction to statistics’ course. This eighth edition is available on SaplingPlus.
TABLE OF CONTENTS
PART I: EXPLORING DATA 0. Getting Started 1. Picturing Distributions with Graphs 2. Describing Distributions with Numbers 3. The Normal Distributions 4. Scatterplots and Correlation 5. Regression 6. Two-Way Tables* 7. Exploring Data: Part I Review. PART II: PRODUCING DATA. 8. Producing Data: Sampling 9. Producing Data: Experiments 10. Data Ethics* 11. Producing Data: Part II Review. PART III: FROM DATA PRODUCTION TO INFERENCE. 12. Introducing Probability 13. General Rules of Probability* 14. Binomial Distributions* 15. Sampling Distributions 16. Confidence Intervals: The Basics 17. Tests of Significance: The Basics 18. Inference in Practice 19. From Data Production to Inference: Part III Review. PART IV: INFERENCE ABOUT VARIABLES. 20. Inference about a Population Mean 21. Comparing Two Means 22. Inference about a Population Proportion 23. Comparing Two Proportions 24. Inference about Variables: Part IV Review. PART V: INFERENCE ABOUT RELATIONSHIPS. 25. Two Categorical Variables: The Chi-Square Test 26. Inference for Regression 27. One-Way Analysis of Variance: Comparing Several Means. PART VI: OPTIONAL COMPANION CHAPTERS(available online). 28. Nonparametric Tests 29. Multiple Regression 30. More about Analysis of Variance 31. Statistical Process Control 32. Resampling: Permutation Tests and the Bootstrap.