Part 6: Sampling Distributions

Covers: Topics 5.1 - 5.7 of the Course & Exam Description (CED)

Stats Content (CED Topic 5.1)

  • Sampling distributions (general concept)

  • Comparing an observation to random draws

Relevant Context

  • Gerrymandering

Note: This lesson follows the inference trifecta approach, rather than our standard lesson format. Watch the brief Teacher Guide videos on the lesson page for instructions.


Stats Content (CED Topics 5.2 & 5.5)

  • p vs. p(hat)

  • Sampling Dist. for a Proportion

  • Sample Size and Spread

Relevant Context

  • Can a person detect Parkinson’s with scent?

  • Can a machine detect Parkinson’s with scent?

Note: This two-day lesson follows the inference trifecta approach, rather than our standard lesson format. Watch the brief Teacher Guide video on the lesson page for instructions.


Stats Content (CED Topics 5.4-5.5)

  • Random Condition

  • 10% Condition

  • Large Counts Condition

Relevant Context

  • Election polling

  • Why were the polls so wrong about Trump?


Stats Content (CED Topics 5.3 & 5.7)

  • Sampling Distribution for a Mean

  • Central Limit Theorem

  • Conditions for Sampling Means

Relevant Context

  • Veteran mental health appointment wait times

  • Warning: Lesson mentions veteran suicide data

Note: This two-day lesson follows the inference trifecta approach, rather than our standard lesson format. Watch the brief Teacher Guide video on the lesson page for instructions.

 
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Part 5: Probability & Random Variables

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Part 7: Inference for Proportions