Estimate population parameters with margin of error

Start lessonBegins with Point estimate and simulating variability · Slides

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.B.4

**HSS.IC.B.4**: Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

HSS.IC.B.4: Use data from a sample survey to estimate a population mean or proportion; develop a margin of error through the use of simulation models for random sampling.

What you'll learn

Use a sample statistic (x-bar or p-hat) as a point estimate of the corresponding population parameter (mu or p)
Use a simulation model for random sampling to generate the sampling distribution of an estimate
Estimate a margin of error from the spread of the simulated sampling distribution (about two standard deviations)
Report and interpret an interval estimate (point estimate plus-or-minus margin of error) in the context of the data
Explain how sample size affects the margin of error, and the meaning and limits of a margin-of-error statement

Review first:

Slides

Step through the lesson, or watch it as a narrated video • 2 slide decks

Point estimate and simulating variability

✓ Start here

Watch as video

Margin of error and its limits

Watch as video

Practice

Try it on your own

Exercise

Practice problems, checked as you go

Was this lesson helpful?

Report a problem with this page