A cartoon to teach about the margin of error for sample surveys. 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 value of random sampling to control bias and provide the underpinning for inference. 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 law of large numbers and the expected value under the assumption that future events are unknown to the betting strategy. 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 importance of providing measures of error, like the Margin-of-Error, with estimates. 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 interpretation of confidence in inference. 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 for teaching that confidence intervals do not always contain the true parameter. 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.
Cartoon by John Landers (www.landers.co.uk) based on a joke popularized on the internet in 2003 soon after the start of the Iraq war (usage of this pun was rare before Jeff Gabbage's October 12, 2003 article, "She's developed weapons of math instruction" in the "Philadelphia Inquirer."). Cartoon is free to use in the classroom and on course web sites.
This tutorial on the Kruskal-Wallis test includes its definition, assumptions, characteristics, and hypotheses as well as procedures for graphical comparisons. An example using output from the WINKS software is given, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
This tutorial on Friedman's Test includes its definition, assumptions, characteristics, and hypotheses. An example using output from the WINKS software is given, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
