Learning Goal
Fit data to a normal distribution
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.ID.A.4**: Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
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HSS.ID.A.4: Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
What you'll learn
- Recognize the normal (bell) curve and state that it is symmetric about the mean and fully determined by the mean and standard deviation
- Apply the empirical (68-95-99.7) rule to estimate the percentage of a population within 1, 2, or 3 standard deviations of the mean
- Compute a z-score and use a calculator, spreadsheet, or table to estimate the percentage of data below, above, or between given values
- Judge from a distribution's shape whether fitting a normal model is appropriate, and recognize when it is not
Slides
Step through the lesson, or watch it as a narrated video • 2 slide decks
The normal curve and empirical rule
✓ Start hereZ scores and when normal fails
Practice
Try it on your own