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Probability and statistical inference

HE · 50 minutes · Move from sample to population claim.

Visual learning map for Probability and statistical inference: observe, try, then explain. Move from sample to population claim.
Visual learning map for Probability and statistical inference: observe, try, then explain. Move from sample to population claim.

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Our learning goal

Move from sample to population claim.

Your turn: Choose one thing you would like to understand by the end.

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My lesson notes & project
Full teaching script
  1. Today: Probability and statistical inference. Our goal: Move from sample to population claim.
  2. Take one idea at a time. Pause after each sentence; ask for repetition whenever you need it.
  3. A sampling distribution of the mean is normal for large n (Central Limit Theorem), with standard error σ/√n. Confidence intervals express uncertainty; p-values give the probability of data this extreme if the null were true — not the probability the hypothesis is false.
  4. Together: choose one example from the explanation and show how it works. What do you notice?
  5. Your turn: Compute a 95% CI for a sample you collect.
  6. Reflect: what made sense, and what would you like explained differently?
Teacher lessons & videos

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