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In this program

Point estimators: method of moments
Maximum likelihood (intro)
Properties of estimators: bias, variance, and MSE
Confidence intervals: pivot methods
Large-sample confidence intervals
Bootstrap confidence intervals (introduction)

Estimation

Large-sample confidence intervals

Statistical inference · Standard syllabus

Topic

Large-sample confidence intervals

Practice by unit: Estimation

Undergraduate Statistical inference — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

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