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2009年版
Contents
1. Introduction
1.1 Gathering data
1.2 Data handling
1.3 Probability and statistical inference
2. Data description
2.1 Data distribution
2.2 Typical values
2.3 Measures of dispersion
3. Basic principles of probability
3.1 Set theory
3.2 From set theory to probability
4. Probability distributions
4.1 Random variable
4.2 Random vectors and joint distributions
4.3 Marginal distributions
4.4 Conditional density function
4.5 Independent random variables
4.6 Expected value, moments, and co-moments
4.7 Discrete distributions
4.8 Continuous distributions
5. Random sampling
5.1 Sample statistics
5.2 Large-sample theory
6. Point and interval estimation
6.1 Point estimation
6.2 Interval estimation
7. Hypothesis testing
7.1 Rejection region for sample means
7.2 Size, level, and power of a test
7.3 Interpreting p-values
7.4 Likelihood-based tests
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