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  • A song to be used in discussing the value of random selection in sampling and random assignment in experimentation. 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 2014 hit “All About that Bass,” by Meghan Trainor. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=br-5FtoYfkc

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  • A song that can be used in discussing lurking variables - unobserved variables that may drive the relationships seen in 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 2013 song “Happy,” written by Pharrell Williams for the animated movie Despicable Me 2. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=iWf-8_UjUyg

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  • A song that may be used in discussing how confounding variables may provide alternate explanations for the data making causal interpretations difficult. 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 mid-20th century folk song 99 Bottles of Beer. Also, an accompanying video may be found at
    https://www.youtube.com/watch?v=-daUPdUV8C4

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  • A song that may be used in discussing the difference between cluster sampling and stratified sampling  and the value of them when you have groups known to be homogeneous for the variable under study.  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 Mike Chapman and Nicky Chin’s 1979 song "Kitty", popularized by Toni Basil in her 1981 recording of the song as "Mickey". Also, an accompanying video may be found at https://www.youtube.com/watch?v=rX9erSAH9WY

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  • A cartoon to be used for discussing the advantages and disadvantages of random assignment when n is small and there are clear confounders (here the assignment might be to which product is tested first). The cartoon was used in the May 2017 CAUSE Cartoon Caption Contest. This caption was written by John Bailer from Miami University 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-ii written by Larry Lesser from The University of Texas at El Paso.
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  • A cartoon to be used for discussing the value of stratification in reducing the variability of population estimates (and the difficulty in doing so when the population weights are unknown).. The cartoon was used in the May 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Jim Alloway of EMSQ Associates. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. Two honorable mentions that rose to the top of the judging in the May competition may be found at https://www.causeweb.org/cause/resources/fun/cartoons/product-testing-ii written by Larry Lesser from University of Texas at El Paso and at https://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 importance of efficiency in sampling. The cartoon was used in the April 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Mickey Dunlap from University of Georgia. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. Three honorable mentions that rose to the top of the judging in the April competition included “Better to ask for help BEFORE you're drowning in data!,” written by Larry Lesser from University of Texas at El Paso; “I guess I should have asked for more details before signing up for this "Streaming Data" workshop,” written by Chris Lacke from Rowan University; and “On reflection, random sampling WITH replacement might not have been appropriate in this scenario,” written by Aaron Profitt from God’s Bible School and College.
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  • This tutorial on SQL teaches the most used commands. There is a short explanation, then the user is asked a simple question. If the typed answer is correct, the user continues to the next lesson.
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  • Big data analysis is explained in this online course that introduces the user to the tools Hadoop and Mapreduce. These tools allow for the parallel computing necessary to analyze large amounts of data.
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  • A cartoon to aid in the discussion of the importance of replication. The cartoon was created in 2017 by Lyla El-Fayomi, a student at the University of Toronto at Mississauga and won an honorable mention in the cartoon category of the 2017 A-mu-sing competition.
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