This applet generates a graph of the sampling distribution of sample means and displays the probabilities associated with that distribution. Users enter the mean and standard deviation of the source population and the size of the samples. The applet also calculates the standard error of the sample means.
This page will perform an analysis of variance for the situation where there are three independent variables, A, B, and C, each with two levels. The user may enter data directly or copy and paste from a spreadsheet or other application.
A joke that can be used when teaching six sigma process control ideas or chi-squared goodness-of-fit tests. The joke was written in 2013.
A song for teaching concepts of estimating a population mean and addressing uncertainty in the estimate. The lyrics were written by Lawrence Mark Lesser from University of Texas at El Paso as a parody of the 2011 song "Call Me Maybe" written by Carly Rae Jepsen, Tavish Crowe, and Josh Ramsay). The lyrics were awarded second prize in the 2013 CAUSE A-Mu-sing competition. Free for non-profit educational use. Musical accompaniment realization are by Joshua Lintz and vocals are by Mariana Sandoval from University of Texas at El Paso.
This activity focuses on basic ideas of linear regression. It covers creating scatterplots from data, describing the association between two variables, and correlation as a measure of linear association. After this activity students will have the knowledge to create output that yields R-square, the slope and intercept, as well as their interpretations. This activity also covers some of the basics about residual analysis and the fit of the linear regression model in certain settings. The corresponding data set for this activity, 'BAC data', can be found at the following web address: http://www.causeweb.org/repository/ACT/BAC.txt
If you can't measure it, I'm not interested. A quote by Canadian educator and management theorist Laurence Johnston Peter (1919 - 1990) from "Peter's People" in "Human Behavior" (August, 1976; page 9). The quote also appears in "Statistically Speaking: A dictionary of quotations" compiled by Carl Gaither and Alma Cavazos-Gaither.
This joke can be used to motivate class discussions on the assumptions underlying drawing conclusions from data (especially the assumption of stationarity). The joke is a revision of a story in "The Angel's Dictionary: A modern tribute to Ambrose Bierce" by Edmund Volkart - also quoted in "Statistically Speaking: A dictionary of Quotations" by Carl Gaither and Alma Cavazos-Gaither (page 62). The revision (to make the story suitable for classroom use) was written by Dennis Pearl, The Ohio State University.
A cartoon that might be used in teaching about data quality issues. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
A cartoon to teach about the concept of independent versus dependent variables. Cartoon by John Landers (www.landers.co.uk) based on an idea from Dennis Pearl (The Ohio State University). Free to use in the classroom and on course web sites.
January 26, 2010 webinar presented by Alicia Gram, Smith College, and hosted by Leigh Slauson, Capital University. This webinar describes an activity that uses data collected from an experiment looking at the relationship between two categorical variables: whether a cotton plant was exposed to spider mites; and did the plant contract Wilt disease? The activity uses randomization to explore whether there is a difference between the occurrence of the disease with and without the mites. The webinar includes a discussion of the learning goals of the activity, followed by an implementation of the activity then suggestions for assessment. The implementation first uses a physical simulation, then a simulation using technology. (Extra materials, including Fathom instructions for the simulation, available for download free of charge).