Interpret shape, center, and spread in context

Start lessonBegins with Describing and comparing distributions · 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.ID.A.3

**HSS.ID.A.3**: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

HSS.ID.A.3: Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).

What you'll learn

Describe a distribution's shape, center, and spread as statements about the real-world quantity being measured
Name the direction of skew correctly (skew points toward the tail)
Interpret differences in center and spread between two or more data sets in the context of the situation
Explain how an extreme value (outlier) affects the mean and standard deviation differently from the median and IQR, and how that changes the conclusion
Decide and justify whether an outlier should be kept or removed, recognizing that outliers may be errors or legitimate rare values

Review first:

Slides

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

Describing and comparing distributions

✓ Start here

Watch as video

Outliers and the keep or remove decision

Watch as video

Practice

Try it on your own

Exercise

Practice problems, checked as you go

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