Elementary Probability

• Elementary Statistics with R

This is an e-book tutorial for R. It is organized according to the topics usually taught in an Introductory Statistics course. Topics include: Qualitative Data; Quantitative Data; Numerical Measures; Probability Distributions; Interval Estimation; Hypothesis Testing; Type II Error; Inference about Two Populations; Goodness of Fit; Analysis of Variance; Non-parametric methods; Linear Regression; and Logistic Regression.
• Song: Probability Rules Rap

A rap about the basic rules of probability. The music and lyrics were written by Lawrence Mark Lesser of University of Texas at El Paso and won an honorable mention in the 2015 A-mu-sing contest. This song is part of an NSF-funded library of interactive songs that involved students creating responses to prompts that are then included in the lyrics (see www.causeweb.org/smiles for the interactive version of the song, a short reading covering the topic, and an assessment item).

• Joke: Locker Security

A joke to be used in discussing permutations and combinations in a probability course. The Joke was written in 2016 by Judah Lesser an AP statistics student from El Paso, Texas.
• Poem: The Law of Statistics

"The Law of Statistics" is a poem by Scottish poet Eveline Pye from Glasgow Caledonin University. The poem was originally published in the February 2016 issue of Talking Writing magazine. "The Law of Statistics" is about the case of Sally Clark, who was wrongly convicted in England of killing two of her children based on an error in "expert" testimony regarding the probability of two crib deaths in the same family. The poem might be used in course discussions about conditional probability and Bayes Theorem.
• Song: 1 in 2

A song to help students confront the "equiprobability bias". Lyrics and music were written by Lawrence Mark Lesser of University of Texas at El Paso. The song won an honorable mention in the 2013 CAUSE A-Mu-sing competition. Free for use in non-profit education settings.

• Cartoon: Meaning of Random

A cartoon suitable for use in teaching the difference between how the word random is used in probability compared to some uses in everyday parlance. The cartoon is number 1210 (May, 2013) 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

• Quote: Playfair on Presenting Data

...making an appeal to the eye when proportion and magnitude are concerned, is the best and readiest method of conveying a distinct idea. is a quote by Scottish political economist William Playfair (1759 - 1823) often credited as the originator of statistical graphics. The quote is found in the preface to his 1801 book "The Statistical Breviary: Shewing, on a Principle Entirely New, The Resources of Every State and Kingdom in Europe" (the book where he introduced the piechart)
• Poem: The Hippopotamus and His Hypothesis

A poem useful in teaching aspects about hypothesis testing, especially the caveat that unimportant differences may be deemed significant with a large sample size. The poem was written by Mariam Hermiz, a student at University of Toronto, Mississauga in Fall 2010 as part of an assignment in a biometrics class taught by Helene Wagner. The poem was awarded first place in the poetry category of the 2011 CAUSE A-Mu-sing contest.

• Poem: Statistical Significance Haiku

A Haiku about the meaning of significance by Dr. Nyaradzo Mvududu of the Seattle Pacific University School of Education. The poem was awarded a tie for second place in the 2011 CAUSE A-Mu-sing competition.

• Song: Statistics Heroes

A song about the important contributions of Karl Pearson, Charles Spearmen, William S. Gosset, and Ronald Fisher. Lyrics written by Nyaradzo Mvududu from Seattle Pacific University. May sing to the tune of John Lennon's 1971 song "Imagine." The lyrics were awarded third place in the song category of the 2011 CAUSE A-Mu-sing competition. Musical accompaniment realization are by Joshua Lintz and vocals are by Mariana Sandoval from University of Texas at El Paso.