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  • A song to be used in discussing the idea that a low P-value indicates that the null hypothesis is a poor explanation of the data. 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 1952 song “Hound Dog,” written by Jerry Leiber and Mike Stoller and recorded by Willie Mae Thorton and later popularized by Elvis Presley. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=Ia9HYMHgqzM

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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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  • 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 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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    Average: 5 (1 vote)
  • 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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  • A short story that might be used as an out-of-class assignment to facilitate understanding the interpretation of a 95% confidence interval as a random interval that is expected to cover the true parameter in 95% of all samples. The story was written in 2011 by Canadian mathematician Robert Dawson from Saint Mary's University in Halifax Nova Scotia. The story was published as a two part series at www.Lablit.com
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    Average: 3 (1 vote)
  • A cartoon to aid in the discussion of the difference between descriptive and inferential statistics. The cartoon was created by Greg Crowther from Everett Community College and took second place in the cartoon category of the 2017 A-mu-sing competition.
    5
    Average: 5 (2 votes)
  • This collection of datasets from Dr. John Rasp's Statistics Webpage is for his STAT 460 (Experimental Design & Advanced Data Analysis), STAT 301 (Business Statistics), STAT 201 (Intro to Business Statistics) classes. This also provides links for statistical web pages, resources for statistical studies, Homework and lecture reviews.
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  • This is a collection of data sets that were part of R packages. The data set page includes information on which package the data set comes from, the name of the data set, and the number of rows and columns included. Each set is given in .csv form with a documentation file also.
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