The basic practice of statistics
著者
書誌事項
The basic practice of statistics
W.H. Freeman, c2015
7th ed
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
A defining text in statistics education, The Basic Practice of Statistics puts data analysis at the forefront and begins to develop students' reasoning and judgment about statistical studies. Written by an author team of accomplished leaders in statistics education, it reflects the actual practice of statistics, where data analysis and design of data production join with probability-based inference to form a coherent science of data. The authors' ultimate goal is to equip students to carry out common statistical procedures and to follow statistical reasoning in their fields of study and in their future employment.
Part of the best-selling Moore family of statistics books, Basic Introduction to the Practice of Statistics is designed for a one-semester `introduction to statistics' course and offers a concise, accessible introduction to the subject.
目次
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.- 8. Producing Data: Sampling.- 9. Producing Data: Experiments.- 10. Data Ethics.- 11. Producing Data: Review.- 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.- 20. Inference about a Population Mean.- 21. Comparing Two Means.- 22. Inference about a Population Proportion.- 23. Comparing Two Proportions.- 24. Inference about Variables.- 25. Two Categorical Variables: The Chi-Square Test.- 26. Inference for Regression.- 27. One-Way Analysis of Variance: Comparing Several Means.- 28. Nonparametric Tests.- 29. Multiple Regression.- 30. More about Analysis.- 31. Statistical Process Control
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