Lesson 2 of 7Module 2 · 0% of course
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Probability & Statistics · Statistics

Sampling & the Central Limit Theorem

Why averages of many samples are approximately normal whatever the population: random sampling, bias, the sampling distribution, standard error σ/√n, the CLT statement, and its limits (fat tails, dependence).

30 min · 6 steps · videoJump to quiz ↓
But what is the Central Limit Theorem? 3Blue1Brown · 31 min
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Step 1 of 6 · Overview30 min read ·
Key idea
Prereqs: Descriptive statistics; probability basics. Next: Confidence intervals; hypothesis tests. Sources: Blitzstein & Hwang, *Introduction to Probability* ch. 10; 3Blue1Brown; MIT OpenCourseWare.
Next: 1. Sampling

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