Compare center and spread of data sets

Start lessonBegins with Mean sd and resistant measures · 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.2

**HSS.ID.A.2**: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

HSS.ID.A.2: Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.

What you'll learn

Compute the mean, median, interquartile range (IQR), and standard deviation of a data set (by hand for small sets, with technology for large sets)
Judge the shape of a distribution from its plot and select the appropriate measures of center and spread
Explain why the median and IQR are resistant to outliers while the mean and standard deviation are not
Compare two or more data sets by reporting matched, shape-appropriate statistics for center and for spread
Write a contextual comparison that addresses both center and spread, not center alone

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