생명과학 실험서 2판
생명과학 10판
생활속의 화학
The Practice of statistics 4/E
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This remarkably engaging textbook is the perfect learning resource for undergraduate and postgraduate biology students studying statistics and data analysis. Part of the best-selling Moore family of statistics books, it covers essential statistical topics with examples and exercises drawn from across the field of life sciences, including disciplines such as nursing, public health, and allied health.
Based on David Moore s classic The Basic Practice of Statistics , this textbook applies the bestseller s signature emphasis on statistical thinking to the world of life sciences, helping engage students and underlining how statistics can directly apply to the projects they re working on.This textbook will be available on SaplingPlus, a highly-intelligent online teaching and learning tool which will be available for statistics in Autumn 2018.
목차
Part I: Collecting and Exploring Data
1. Picturing Distributions with Graphs
2. Describing Quantitative Distributions with Numbers
3. Scatterplots and Correlation
4. Regression.- 5.Two-Way Tables
6. Samples and Observational Studies
7. Designing Experiments
8. Collecting and Exploring Data: Part I Review
Part II: From Chance to Inference
9. Essential Probability Rules
10. Independence and Conditional Probabilities*
11. The Normal Distributions
12. Discrete Probability Distributions*
13. Sampling Distributions
14. Introduction to Inference
15. Inference in Practice
16. From Chance to Inference: Part II Review
Part III: Statistical Inference
17. Inference about a Population Mean
18. Comparing Two Means
19. Inference about a Population Proportion
20. Comparing Two Proportions
21. The Chi-Square Test for Goodness of Fit
22. The Chi-Square Test for Two-Way Tables
23. Inference for Regression
24. One-Way Analysis of Variance: Comparing Several Means
25. Statistical Inference: Part III Review
Part IV: Optional Companion Chapters
26. More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA
27. Nonparametric Tests
28. Multiple and Logistic Regression.
1. Picturing Distributions with Graphs
2. Describing Quantitative Distributions with Numbers
3. Scatterplots and Correlation
4. Regression.- 5.Two-Way Tables
6. Samples and Observational Studies
7. Designing Experiments
8. Collecting and Exploring Data: Part I Review
Part II: From Chance to Inference
9. Essential Probability Rules
10. Independence and Conditional Probabilities*
11. The Normal Distributions
12. Discrete Probability Distributions*
13. Sampling Distributions
14. Introduction to Inference
15. Inference in Practice
16. From Chance to Inference: Part II Review
Part III: Statistical Inference
17. Inference about a Population Mean
18. Comparing Two Means
19. Inference about a Population Proportion
20. Comparing Two Proportions
21. The Chi-Square Test for Goodness of Fit
22. The Chi-Square Test for Two-Way Tables
23. Inference for Regression
24. One-Way Analysis of Variance: Comparing Several Means
25. Statistical Inference: Part III Review
Part IV: Optional Companion Chapters
26. More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA
27. Nonparametric Tests
28. Multiple and Logistic Regression.
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