TY  - BOOK
AU  - Moore, David S.
AU  - Notz, William I.
AU  - Fligner, Michael A.
TI  - The Basic Practice of Statistics
SN  - 9781319187637 
U1  - 519.5 MOO 23rd Ed.
PY  - 2018///
CY  - New York
PB  - Macmillan Education
KW  - Statistics
N1  - 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.
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