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Statistics in Practice
First EditionDavid S. Moore; William Notz; Michael Fligner
©2015Statistics in Practice is an exciting new addition to W.H. Freeman’s introductory statistics list. Co-authored by David Moore, it maintains his pioneering data analysis approach but incorporates significant changes designed to help students. Statistics in Practice introduces data collection early, covers tests of proportions first before tests of means, and engages students with its conversational writing style. SIP is a modern approach to the introductory statistics course, clearly showing the importance of statistics to students during their academic life and beyond.
Table of Contents
0. Getting Started
PART I: EXPLORING DATA
Exploring Data: Variables and Distributions
1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. The Normal Distributions
Exploring Data: Relationships
4. Scatterplots and Correlation
5. Regression
6. Two-Way Tables*
7. Exploring Data: Part I Review
1. Picturing Distributions with Graphs
2. Describing Distributions with Numbers
3. The Normal Distributions
Exploring Data: Relationships
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
Commentary: Data Ethics*
10. Producing Data: Part II Review
8. Producing Data: Sampling
9. Producing Data: Experiments
Commentary: Data Ethics*
10. Producing Data: Part II Review
PART III: PROBABILITY
11. Introducing Probability
12. General Rules of Probability*
13. Binomial Distributions*
14. Probability: Part III Review
11. Introducing Probability
12. General Rules of Probability*
13. Binomial Distributions*
14. Probability: Part III Review
PART IV: INFERENCE ABOUT VARIABLES
Categorical Response Variable
15. Sampling Distribution for a Proportion
16. Confidence Intervals: The Basics
17. Tests of Significance: The Basics
18. Comparing Two Proportions
Quantitative Response Variable
19. Sampling Distribution for a Mean
20. Inference about a Population Mean
21. Comparing Two Means
22. Inference in Practice
23. Inference about Variables: Part IV Review
Categorical Response Variable
15. Sampling Distribution for a Proportion
16. Confidence Intervals: The Basics
17. Tests of Significance: The Basics
18. Comparing Two Proportions
Quantitative Response Variable
19. Sampling Distribution for a Mean
20. Inference about a Population Mean
21. Comparing Two Means
22. Inference in Practice
23. Inference about Variables: Part IV Review
PART V: INFERENCE ABOUT RELATIONSHIPS
24. Two Categorical Variables: The Chi-Square Test
25. Inference for Regression
26. One-Way Analysis of Variance: Comparing Several Means
24. Two Categorical Variables: The Chi-Square Test
25. Inference for Regression
26. One-Way Analysis of Variance: Comparing Several Means
PART VI: OPTIONAL COMPANION CHAPTERS
(available on online)
27. Nonparametric Tests
28. Statistical Process Control
29. Multiple Regression
30. More about Analysis of Variance
(available on online)
27. Nonparametric Tests
28. Statistical Process Control
29. Multiple Regression
30. More about Analysis of Variance