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  • A song that may be used in discussing the definition and interpretation of the P-Value in significance testing. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of Van Morrison’s 1967 classic rock song BlBrown Eyed Girl. Also, an accompanying video may be found at https://www.youtube.com/watch?v=TmQvXhN7Exc

    statistical topic: Significance Testing Principles – P-value

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  • A song that may be used in discussing the meaning and interpretation of the confidence level for a confidence interval. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the Beatles 1965 hit song Can’t Buy Me Love, written by Paul McCartney. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=vc6gJAm3cMY

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  • A song that may be used in discussing the value of blocking (or matching) in reducing variation in an experiment.  The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the 1966 Beach Boys hit "Good Vibrations".  Also, an accompanying video may be found at https://www.youtube.com/watch?v=TPCnjwyH8As

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  • Song about the use of the logarithmic transformation in statistics. May be sung to the tune of "Hound Dog" which was popularized by Elvis Presley. Lyrics written by Dennis Pearl with assistance from Deb Rumsey. Musical accompaniment realization and vocals are by Joshua Lintz from University of Texas at El Paso.

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  • A song to aid in the discussion of the meaning and interpretation of p-values and type I errors. The song's lyrics were written in 2017 by Lawrence Lesser from The University of Texas at El Paso and may be sung to the tune of the 1977 Bee Gees Grammy winning hit "Stayin' Alive."
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  • A cartoon to be used for discussing the affect on inference caused by subject-to-subject variability and how that relates to the differences between groups. The cartoon was used in the May 2017 CAUSE Cartoon Caption Contest. This caption was submitted by Larry Lesser from The University of Texas at El Paso and took honorable mention in the contest. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. The winning caption in the May competition may be found at www.causeweb.org/cause/resources/fun/cartoons/product-testing-i (written by Jim Alloway of EMSQ Associates) and an honorable mention may be found at www.causeweb.org/cause/resources/fun/cartoons/product-testing-iii written by John Bailer from Miami University.
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  • A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michael Posner, from Villanova University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michele Balik-Meisner, a student at North Carolina State University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-i Three honorable mentions that rose to the top of the judging in the March competition included “No no no! You randomize AFTER you select your research topic!” by Mickey Dunlap from University of Georgia; “This isn't what I meant by random variable!” by Larry Lesser from The University of Texas at El Paso; and “We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible.” by Greg Snow from Brigham Young University.
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  • A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michele Balik-Meisner, a student at North Carolina State University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michael Posner of Villanova University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-ii Three honorable mentions that rose to the top of the judging in the March competition included “No no no! You randomize AFTER you select your research topic!” by Mickey Dunlap from University of Georgia; “This isn't what I meant by random variable!” by Larry Lesser from The University of Texas at El Paso; and “We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible.” by Greg Snow from Brigham Young University.
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  • A joke that might be used in a discussion of the problem of using a simple linear regression to extrapolate beyond the range of the data (where it is unlikely that the linear relationship would continue to hold). The joke was written by Dennis Pearl from Penn State University.
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  • A science fiction short story that could be used in an out-of-class assignment associated with the topic of cyclic trends in time series. The story was written in 1952 by American science fiction writer Robert Heinlein and published in Galaxy Science Fiction magazine.
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