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Data Collection

  • A song discussing how a sample can be superior to a census.  The lyric was written in 2018 by Lawrence Lesser of The University of Texas at El Paso and parodies John Denver's 1974 #1 hit "Annie's Song".  The song was also published in the May 2019 Amstat News.

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  • A joke to use in discussing Meta Analyses.  The joke was written in 2019 by Larry Lesser from The University of Texas at El Paso.

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  • A joke to use in discussing the poor representativeness of a convenience sample.  The joke was written in 2019 by Larry Lesser from The University of Texas at El Paso.

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  • A cartoon useful in applied probability courses to discuss the nature of actuarial work and the importance of accounting for rare events.The cartoon was used in the April, 2018 CAUSE cartoon caption contest and the winning caption was written by Larry Lesser from The University of Texas at El Paso.  An alternative caption that was a co-winner in that month’s contest was "Open your eyes to catch the significant events occurring at the tails," submitted by Debmalya Nandy, a graduate student at Penn State University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can be used in discussing the effect of outliers – especially on significance testing. The cartoon was used in the April, 2018 CAUSE cartoon caption contest and the winning caption was submitted by Debmalya Nandy, a graduate student at Penn State University.  An alternative caption that was a co-winner in that month’s contest was "Actuaries write umbrella policies to cover freak accidents" written by Larry Lesser from The University of Texas at El Paso. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can be a vehicle to discuss how interesting discoveries are often made by investigating outliers.The cartoon was used in the March 2018 CAUSE cartoon caption contest and the winning caption was written by Jim Alloway from EMSQ Associates. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can provide a nice avenue for facilitating discussions of the importance of having a plan to clean dirty/messy data.The cartoon was used in the February 2018 CAUSE cartoon caption contest and the winning caption was written by Jennifer Ann Morrow from University of Tennessee. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can be helpful in discussing how computational advances affect the processing and analysis of big data. The cartoon was used in the November 2018 CAUSE cartoon caption contest and the winning caption was submitted by Larry Lesser from The University of Texas at El Paso. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon that can be a vehicle to discuss the nature of convenience samples and how they are likely to differ from probability-based samples. The cartoon was used in the January, 2018 CAUSE cartoon caption contest and the winning caption was submitted by Larry Lesser from The University of Texas at El Paso. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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  • A cartoon to provide a nice avenue for facilitating discussions of planning for adequate sample sizes in experiments.The cartoon was used in the October, 2017 CAUSE cartoon caption contest and the winning caption was written by Greg Snow from Grigham Young University. The cartoon was drawn by British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.

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