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Statistical Topic

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  • A cartoon to teach about the graphical displays of discrete data - especially using bar charts. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.Cartoon was revised in March, 2023 to include a histogram amongst the graphs on the wall.

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  • A video using dance to teach about concepts involved with frequency distributions.  This 2013 video is from the “Dancing Statistics” series developed by Lucy Irving from Middlesex University (UK) funded by a BPS Public Engagement grant and additional funding from IdeasTap.  Full credits are within the video.   The Dancing Statistics project is described at https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00050/full

    The video also comes with teaching notes for viewing by instructors who are logged into CAUSEweb.org. 

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  • A cartoon suitable for use in teaching about bar graphs. The cartoon is number 373 (January, 2008) from the webcomic series at xkcd.com created by Randall Munroe. Free to use in the classroom and on course web sites under a creative commons attribution-non-commercial 2.5 license.

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  • This pie chart was created by Lawrence Lesser of The University of Texas at El Paso to illustrate how a pie chart can display results of a (qualitative) survey question while intriguing students with (mostly, unexpected) connections between probability/statistics and the number π.

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  • Math and Science @ Work presents an activity for high school AP Statistics students. In this activity, students will look at data from an uncalibrated radar and a calibrated radar and determine how statistically significant the error is between the two different data sets.

    NASA's Math and Science @ Work project provides challenging supplemental problems for students in advanced science, technology, engineering and mathematics, or STEM classes including Physics, Calculus, Biology, Chemistry and Statistics, along with problems for advanced courses in U.S. History and Human Geography.

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  • This song that may be used in teaching about box plots. The lyrics were written by Alan Reifman, Department of Human Development and Family Studies, Texas Tech University. The lyrics may be sung to the tune of Billy Joel's 1978 song "Big Shot." The lyrics won first prize in the song category of the 2009 A-Mu-sing contest. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

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  • A cartoon to teach about the need for statistical techniques in drawing out the salient features in massive data sets. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.

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  • A sketch by Anastasia Mandel reinterpreting "Boy Viewing Mount Fuji" by Katsushika Hokusai (1839) with the statistical caption "Laplace distribution in the Far East." This is part of a collection of sketches by Anastasia Mandel and their accompanying statistical captions written by Stan Lipovetsky and Igor Mandel that took first place in the cartoon & art category of the 2009 A-Mu-sing contest sponsored by CAUSE. The collection and their accompanying statistical captions discussed in the paper "How art helps to understand statistics" (Model Assisted Statistics and Applications, 2009) by Stan Lipovetsky and Igor Mandel in volume 4 pages 313-324. Free to use in classrooms and on course websites.

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  • This article describes an activity that illustrates contingency table (two-way table) analysis. Students use contingency tables to analyze the "unusual episode" (the sinking of the ocean liner Titanic)data (from Dawson 1995) and attempt to use their analysis to deduce the origin of the data. The activity is appropriate for use in an introductory college statistics course or in a high school AP statistics course. Key words: contingency table (two-way table), conditional distribution

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  • This applet simulates rolling dice and displays the outcomes in a histogram. Students can choose to roll 1, 2, 6, or 9 dice either 1, 10, 20, or 100 times. The outcome studied is the sum of the dice and a red line is drawn on the histogram to show expected number of occurences of each outcome.

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