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Analyzing and Making Mathematical and Historical Claims from (Linear) Data Representations
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A statistics lesson on describing and making claims from data representations, specifically linearly increasing data. Applies ideas of rate-of-change to develop writing a linear equation to fit the data, using the equation to interpolate and extrapolate additional information, and integrating the mathematical interpretation appropriately into a social sciences argument.

Subject:
Mathematics
Material Type:
Lesson Plan
Author:
Sarah Ahmed
Johanna Langill
Date Added:
01/28/2016
Bivariate relationship linearity, strength and direction
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Describe a bivariate relationship's linearity, strength, and direction. In other words, plotting things that take two variables into consideration and trying to see whether there's a pattern with how they relate.

Subject:
Statistics and Probability
Material Type:
Lesson
Provider:
Khan Academy
Author:
Salman Khan
Date Added:
12/29/2017
Descriptive statistics (09:20)
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CC BY-NC-ND
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An introduction and examples of how to use Descriptive Statistics. It is about how we present and decribe the data in our sample in the best possible way. This covers tabels, graphs, measures of location and measures of spread/variability.

Subject:
Health, Medicine and Nursing
Statistics and Probability
Material Type:
Lecture
Provider:
Umeå University
Provider Set:
Quantitative Research Methods
Author:
Associate professor in epidemiology and biostatistics
Marie Lindqvist
Date Added:
11/01/2014
Dyeing to Design
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Educational Use
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Students experiment with various ways to naturally dye materials using sources found in nature—roots, leaves, seeds, spices, etc.—as well as the method of extracting dyes. Then they analyze various materials using statistical methods and tackle an engineering design challenge—to find dyes that best suit the needs of a startup sustainable clothing company.

Subject:
Statistics and Probability
Physical Science
Chemistry
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Amanda Grear
Brett Doudican
Carly Monfort
Craig George
Date Added:
10/18/2018
Sensors and Scatterplots
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Educational Use
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Students are introduced to several types of common medical sensor devices, such as ear and forehead thermometers, glucometers and wrist blood pressure monitors; they use the latter to measure their blood pressure and pulse rates. Students also measure their heights and weights in order to calculate their BMIs (body mass index). Then they use the collected data to create and analyze scatterplots of the different variables to determine if any relationships exist between the measured variables. Discussions about the trends observed and possible health concerns conclude the activity.

Subject:
Engineering
Education
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
TeachEngineering
Author:
Elma M. Piñon
Mounir Ben Ghalia
Date Added:
10/14/2015
Sled Hockey Design Challenge
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Educational Use
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Students are tasked with designing a special type of hockey stick for a sled hockey team—a sport designed for individuals with physical disabilities to play ice hockey. Using the engineering design process, students act as material engineers to create durable hockey sticks using a variety of materials. The stick designs will contain different interior structures that can hold up during flexure (or bending) tests. Following flexure testing, the students can use their results to iterate upon their design and create a second stick.

Subject:
Computer Science
Geometry
Physical Science
Material Type:
Activity/Lab
Provider:
TeachEngineering
Provider Set:
Activities
Author:
Amy Lamb
Caroline Boeckman
Robert Winkler
Date Added:
12/19/2018
Star Library: Regression - Residuals - Why?
Conditional Remix & Share Permitted
CC BY-NC-SA
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As teachers of statistics, we know that residual plots and other diagnostics are important to deciding whether or not linear regression is appropriate for a set of data. Despite talking with our students about this, many students might believe that if the correlation coefficient is strong enough, these diagnostic checks are not important. The data set included in this activity was created to lure students into a situation that looks on the surface to be appropriate for the use of linear regression but is instead based (loosely) on a quadratic function.

Subject:
Statistics and Probability
Material Type:
Activity/Lab
Provider:
Consortium for the Advancement of Undergraduate Statistics Education
Provider Set:
Causeweb.org
Author:
Jacqueline B. Miller
Miller, Jacqueline B.
Date Added:
02/16/2011