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Learning Goal
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Understand statistics as a process for inference
Start lessonBegins with Statistics as inference foundations · Slides
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
Teacher tools for this standard
Lesson Plan · Guided Notes · Exit Ticket · Re-teach · Homework
- Lesson Plan →Objectives, pacing and practice, built from this lesson's brief.
- Guided Notes →One page your students fill in and keep.
- Exit Ticket →Three items at the end of class. No student accounts.
- Re-teach →After an exit ticket: who missed what, and what to do tomorrow.
- Homework →Assign practice; it grades itself.
HSS.IC.A.1
**HSS.IC.A.1**: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
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HSS.IC.A.1: Understand statistics as a process for making inferences about population parameters based on a random sample from that population.
What you'll learn
- Distinguish a population from a sample and a parameter from a statistic, using correct notation (mu and x-bar for means, p and p-hat for proportions)
- Describe statistics as a four-step process for inferring an unknown population parameter from a random sample
- Explain why a random sample is necessary for valid inference, and identify the bias that arises when sampling is not random
- Recognize sampling variability -- that a statistic changes from sample to sample while the parameter stays fixed -- and explain why this makes inference uncertain rather than exact
- State what can and cannot be concluded from a single sample
Slides
Step through the lesson, or watch it as a narrated video • 2 slide decks
1
Statistics as inference foundations
✓ Start here2
Randomness and sampling variability
Practice
Try it on your own
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