Lesson Plan: How Far Can You Jump?
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
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).
May 1
The ASA/NCTM Joint Committee on Curriculum in Statistics and Probability and the ASA’s Education Department encourage students and their advisers to participate in its annual Project Competition. Projects are due June 1.
Mar 6
Meeting Within a Meeting (MWM) is based on the Common Core State Standards for Mathematics and GAISE Recommendations. Join us August 1-2 at the Joint Statistical Meetings in Baltimore, Maryland.
Feb 26
Developing authentic formative and summative assessments is challenging, so this column will focus assessment from overarching frameworks to suggestions for lesson-specific assessments.
Feb 25
In this column, we will discuss and describe educational technology to support K–12+ pedagogy and practice.
Feb 22
In an attempt to create a hands-on activity based on an interesting and advanced topic (data privacy), we designed a statistics activity called, Where's Wenda, named after the female character in the Where's Waldo books. Since data privacy can be an abstract idea, we wanted students to imagine that Wenda and all the other people in the Where’s Waldo world are people in a data set.
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