MA.7.DP.1.1 · Data Analysis and Probability

Choosing an Appropriate Measure of Center or Variation: Sample FAST Questions

Students decide which measure of center (mean or median) or measure of variation (range or interquartile range) best summarizes a numerical data set, taking the context and any outliers into account. The question is which statistic fits the data, not how to compute it: a skewed salary list calls for the median, a symmetric one for the mean.

How the FAST tests this benchmark

FAST items give a context and a data set, often with an outlier planted in it, and ask multiple choice or multiselect questions about which summary is appropriate and why. Students are not asked to compute the statistic here, so an answer that just does the arithmetic misses what the item wants.

Skills students need

Choose between mean and median based on skew and outliers
Choose between range and interquartile range to describe spread
Explain why an outlier pulls the mean but not the median

Try 6 real MA.7.DP.1.1 questions

These come straight from Algebro's 7th grade question bank, easiest first. Answer one, check it, then move to the next.

Question 1 of 6

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Question 1EasyMultiple Select

Select each data set where the INTERQUARTILE RANGE is the better measure of variation. Select each set that has a clear outlier.

Select every answer that applies, then check.

Showcase extra: the real practice and quiz players do not have this button.

Question 3MediumMatching

Match each data set to the BETTER measure of variation.

Pick one match in each row, then check.

	A.Range	B.Interquartile range
Test scores: $72, 74, 75, 78, 80, 82, 85$ (evenly spread)
Daily steps: $8000, 8200, 8500, 8700, 9000, 9100, 25000$ (one festival day)
Pet weights (lb): $11, 12, 12, 13, 14, 14, 15$ (no unusual pet)
Tips (in dollars): $3, 4, 5, 5, 6, 6, 7, 60$ (one extra-generous tip)

Showcase extra: the real practice and quiz players do not have this button.

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More 7th grade data and probability benchmarks

MA.7.DP.1.2

Comparing Two Data Sets

MA.7.DP.1.3

Making Predictions from a Random Sample

MA.7.DP.1.4

Constructing and Interpreting Circle Graphs