Jan 4
Introduce your K–12 students to statistics through the annual poster and project competitions directed by the ASA/NCTM Joint Committee on Curriculum in Statistics and Probability.
Jan 2
In the lesson, “Alphabet Statistics,” described by Marilyn Burns in her 1987 book, A Collection of Math Lessons (from grades 3 through 6), students explore letter-of-the-alphabet frequency of usage in print material. Over the years, Shelly Sheats Harkness used an adaptation of this lesson several times with middle-school students, high-school students, and preservice teachers. She shares it here with a technology twist.
Jan 2
This investigation is based on one found in the Appendix for Level A in Guidelines for Assessment and Instruction in Statistics Education (GAISE): A Pre-K–12 Curriculum Framework and is aimed at sixth graders.
Jan 2
This investigation focuses on students examining an association between two categorical variables for grades 6 and 8.
Mar 15
What’s Going On in This Graph?, a new monthly activity from the ASA and The New York Times Learning Network, will help teachers and students explore the quantitative aspects of reporting.
Mar 15
This investigation focuses on students conducting a comparative experiment to explore the effect a fixed target will have on the distance students can jump from a starting line.
Mar 15
The focus of this investigation is to look for and measure the degree of any relationship between two quantitative variables, specifically height and foot length.
Sep 15
In this lesson, published in August 2017, each student collects 20 reaction-time data values using an online tool for testing reaction times to a visual stimulus. Students display and analyze data via a free online tool, Tuva.
Sep 15
Originally published in June 2014, this lesson uses a data set partially discussed in the article Female Hurricanes are Deadlier than Male Hurricanes written by Kiju Junga, Sharon Shavitta, Madhu Viswanathana, and Joseph M. Hilbed.
Sep 15
This activity, published in April of 2014, provides a foundation for distinguishing between qualitative (categorical) and quantitative data and how they can be summarized and analyzed (a topic encountered early in a statistics course).
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