| 내용 |
1, Introduction. - 2, Descriptive statistics: data and information. - 3, Observable data and data-generating processes. - 4, Probability theory: basic properties of data-generating processes. - 5, Expectation and moments: summaries of data-generating processes. - 6, Probability and models: linking positive theories and data-generating processes. - 7, Sampling distributions: linking data-generating processes and observable data. - 8, Hypothesis testing: assessing claims about the data-generating process. - 9, Estimation: recovering properties of the data-generating process. - 10, Causal inference: inferring causation from correlation. - Afterword: statistical methods and empirical research.
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