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  • Song about the use of the 5-number summary to describe skewed data as an alternative to the mean and standard deviation. May be sung to the tune of the 1979 song "I Will Survive" by Gloria Gaynor. Lyrics written by Sheila O'Leary Weaver. The song took first place in the song category in the 2007 A-Mu-Sing competition. Musical accompaniment realization are by Joshua Lintz and vocals are by Mariana Sandoval from University of Texas at El Paso.

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  • Song about the properties of Maximum Likelihood Estimation including efficiency, invariance, and asymptotic normality. May sing to the tune of "Let it Be" By Paul McCartney. Recorded June 26, 2009 at the OSU Whisper Room: Larry Lesser, vocals/guitar; Justin Slauson, engineer.

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  • Song about the chi-square goodness-of-fit test. May be sung to the tune of James Rado, Gerome Ragni, and Gai MacDermot's 1969 song "Aquarius" from the musical "Hair." Lyrics by Lawrence Mark Lesser. Musical accompaniment realization are by Joshua Lintz and vocals are by Mariana Sandoval from University of Texas at El Paso.

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  • In the fields of observation chance favors only the prepared mind. A quote from French chemist and microbiologist Louis Pasteur (1822 - 1895) given at a lecture at University of Lille on December 7, 1854.

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  • Statistically Speaking is a 5 minute 35 second video that can be used in discussing various concepts in descriptive statistics. The video was written, directed, and produced by Cameron W. Hatch and the cast includes (order of appearance) Mala Grewal, Sally Atkinson, Griffin Hatch, Jeff Hatch, Matt Burnham, and Sylvia Burnham.

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  • This activity begins with an instructor demonstration followed by a student out-of-class assignment. Students will observe their instructor create a scatterplot and observe how the correlation coefficient changes when outlier points are added. Students are then given a follow up assignment, which guides them through the applet. In addition, the assignment provides insight about outliers and their effect on correlation. This activity will show exactly how outliers numerically change the correlation coefficient value and to what degree.
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  • This visualization activity combines student data collection with the use of an applet to enhance the understanding of the distributions of slope and intercept in simple linear regression models. The applet simulates a linear regression plot and the corresponding intercept and slope histograms. The program allows the user to change settings such as slope, standard deviation, sample size, and more. Students will then see theoretical distributions of the slope and intercept and how they compare to the histograms generated by the simulated linear regression lines.
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  • This in-class demonstration combines real world data collection with the use of the applet to enhance the understanding of sampling distribution. Students will work in groups to determine the average date of their 30 coins. In turn, they will report their mean to the instructor, who will record these. The instructor can then create a histogram based on their sample means and explain that they have created a sampling distribution. Afterwards, the applet can be used to demonstrate properties of the sampling distribution. The idea here is that students will remember what they physically did to create the histogram and, therefore, have a better understanding of sampling distributions.
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  • A joke about the need for students to explain how they arrived at the answers they provide on exams.

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  • Normality is a myth; there never has, and never will be, a normal distribution. A quote by Irish statistician and econometrician Roy C. Geary (1896 - 1983) found in "Biometrika" volume 34, 1947, page 241.

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