CCSS.Math.Content.HSS-ID.A.4

MathGrades 9–12Interpreting Categorical and Quantitative Data

The standard

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.

Common Core State Standards for Mathematics

What this standard means

Students need to connect a data set’s mean and standard deviation to a normal model. They should use that model to estimate percent of values in an interval, above a value, or below a value. They should also use a calculator, spreadsheet, or z-table to find normal curve areas.

Mastery looks like choosing the right tool, stating the percent in context, and checking whether a normal model makes sense. Students often get stuck using the sample data percent instead of the model percent, mixing up left and right tail areas, or applying a normal model to skewed or clearly non-bell-shaped data.

Ways to teach it

  • Have students measure wrist circumferences, make a dot plot, compute mean and standard deviation, then compare actual percentages to normal model estimates.
  • Ask students to explain when a normal model would be a poor fit for quiz scores, income data, or shoe sizes.
  • Give one mean, standard deviation, and cutoff value, then ask students to find the percent below it using Desmos or a calculator.
  • Use heights of adult women or battery life claims to discuss how companies estimate percentages without measuring every person or product.

Plan a lesson for CCSS.Math.Content.HSS-ID.A.4

Generate a complete lesson plan aligned to this standard, with objectives, activities, and materials. Free, no account needed.

Related standards

  • CCSS.Math.Content.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.

  • CCSS.Math.Content.6.SP.B.5c

    Giving quantitative measures of center (median and/or mean) and variability (interquartile range and/or mean absolute deviation), as well as describing any over...

  • CCSS.Math.Content.6.SP.A.2

    Understand that a set of data collected to answer a statistical question has a distribution which can be described by its center, spread, and overall shape.

  • CCSS.Math.Content.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...

Standard text verified against corestandards.org on July 10, 2026.

Page updated July 10, 2026.

Send Feedback