A Program of The Actuarial Foundation. Aligned with Common Core State and NCTM Standards.
What is an actuary? An actuary is an expert in statistics who works with businesses, governments, and organizations to help them plan for the future. Actuarial science is the discipline that applies math and statistical methods to assess risk. Background photo: © Inga Nielsen/iStockphoto.

Cultivating Data

Data Analysis Lessons & Printables (Grades 7–8 & Advanced)

Welcome to "Cultivating Data," a new standards-aligned program designed to address data analysis and its graphic representations in a real-world context that will be meaningful to grades 7–8 and advanced students.

Developed by The Actuarial Foundation with Scholastic, the program provides knowledge- and skill-building activities through a fun, relatable story line about siblings managing a portion of their family farm. The entrepreneurial teens turn to data analysis tools to make business decisions and demonstrate success.

In addition to engaging lesson plans and worksheets, the program includes:

Download the teaching guide (PDF). Supplemental materials are available via the links below.

Lesson Plans

Lesson 1: Representation of Statistical Information
Lesson 1: Representation of Statistical Information
Includes three worksheets. Students will learn to construct and interpret line plots, stem-and-leaf plots, and box-and-whisker plots, as well as use these to find measures of central tendency.
Lesson 2: Constructing and Analyzing Scatterplots
Lesson 2: Constructing and Analyzing Scatterplots
Includes three worksheets. Students will learn to construct and interpret scatterplots with lines of best fit, and then use them to find outliers and answer critical-thinking questions.
Advanced Lesson: Expected Value
Advanced Lesson: Expected Value
Includes one worksheet. Students will learn to calculate expected value to analyze risk.
Supplemental Lesson: Measures of Central Tendency
Supplemental Lesson: Measures of Central Tendency
Includes three worksheets. Students will learn to construct data tables; calculate mean, median, mode, and range; and use measures of central tendency to make decisions.
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