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Fidget Spinners: Math in Motion

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Teacher to Teacher Press
482 Followers
Grade Levels
6th - 9th
Resource Type
Standards
Formats Included
  • PDF
Pages
9 pages
$3.99
$3.99
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Teacher to Teacher Press
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Description

If a fidget spinner is better at holding a student’s interest than my math lesson, it’s not the fidget spinner than needs to go! Let’s use them to help the students see the math in their everyday life math in a fun and engaging way. Students will gather and interpret data, convert measurements of time, graph data, and even use online software if you wish.

As a “S.T.E.M. in Action” lesson, you’ll find all four components of a true S.T.E.M. curriculum represented.

Science — Students design an experiment in a lesson that involves the physics of centripetal force and friction.

Technology — Students use graphing software to aggregate and study data.

Engineering — Students design an experiment to test whether the cost of a fidget spinner is related to its performance.

Math — Students measure time, convert it to seconds, collect, represent, and interpret data, make box plots, and look at data correlation.

Total Pages
9 pages
Answer Key
Does not apply
Teaching Duration
50 minutes
Last updated Oct 31st, 2019
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Standards

to see state-specific standards (only available in the US).
Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages.
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.
Recognize that a measure of center for a numerical data set summarizes all of its values with a single number, while a measure of variation describes how its values vary with a single number.
Display numerical data in plots on a number line, including dot plots, histograms, and box plots.
Summarize numerical data sets in relation to their context, such as by:

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