A cartoon to aid in discussing confounding and correlative versus causal relationships, for example by asking students to suggest an alternate reason for the relationship besides the one jokingly illustrated in the cartoon. The cartoon was created by English cartoonist John Landers in December, 2021 based on an idea by Dennis Pearl (Penn State University) and Larry Lesser (The University of Texas at El Paso).
A video using dance to teach about concepts involved with frequency distributions. This 2013 video is from the “Dancing Statistics” series developed by Lucy Irving from Middlesex University (UK) funded by a BPS Public Engagement grant and additional funding from IdeasTap. Full credits are within the video. The Dancing Statistics project is described at https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00050/full
The video also comes with teaching notes for viewing by instructors who are logged into CAUSEweb.org.
A video using dance to teach about the concept of variance involved. This 2013 video is from the “Dancing Statistics” series developed by Lucy Irving from Middlesex University (UK) funded by a BPS Public Engagement grant and additional funding from IdeasTap. Full credits are within the video. The Dancing Statistics project is described at https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00050/full
The video also comes with teaching notes for viewing by instructors who are logged into CAUSEweb.org.
A video using dance to teach about concepts involved with sampling error and the standard error of a statistic. This 2013 video is from the “Dancing Statistics” series developed by Lucy Irving from Middlesex University (UK) funded by a BPS Public Engagement grant and additional funding from IdeasTap. Full credits are within the video. The Dancing Statistics project is described at https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00050/full
The video also comes with teaching notes for viewing by instructors who are logged into CAUSEweb.org.
A video using dance to teach about concepts involved with correlation. This 2013 video is from the “Dancing Statistics” series developed by Lucy Irving from Middlesex University (UK) funded by a BPS Public Engagement grant and additional funding from IdeasTap. Full credits are within the video. The Dancing Statistics project is described at https://www.frontiersin.org/articles/10.3389/fpsyg.2015.00050/full
The video also comes with teaching notes for viewing by instructors who are logged into CAUSEweb.org.
A cartoon to illustrate the difference between the population of interest and the sampling frame for a survey. The cartoon was drawn by British cartonist John Landers in May 2021 based on an idea from Larry Lesser (University of Texas at El Paso) and Dennis Pearl (Penn State University).
A haiku poem that uses a fortuitous numerical fact about a birthday probability that can launch discussion of the "68-95-99.7 rule" and how 99.73% of values are within 3 standard deviations of the mean for a normal distribution. Here 364/365 ≈ 0.9973 (365/366 is the same out to four decimals so this also applies to leap years). Students can also recognize that birthdays do not follow a normal distribution, but approximately a uniform distribution (so that the approximate chance that two people have different birthdays is about .9973) . The poem was written by Lawrence Lesser from The University of Texas at El Paso in February, 2021.
A joke to help in a discussion of how a well designed experiment helps to reduce the variance of the response variable. The Joke was written by Larry Lesser (The University of Texas at El Paso) and Dennis Pearl (Penn State University) in Februrary 2021.
Note - when the joke is spoken there is no need to say the parenthetical part - simply pronounce the word "variants" to sound like "variance".
A poem to help in discussing matched-pair designs. UTEP Professor Larry Lesser wrote this poem on February 1, 2021, using end-rhyme couplets to convey (literally and figuratively) tradeoffs of a design with matched pairs. Note that the rhymes are not always perfect, a reflection of how it can be impossible to match subjects perfectly. Also note how the would-be final couplet is ruined by losing its second line, just as you effectively lose two subjects when one subject in a pair chooses to drop out of your study.
A limerick to teach the inclusion-exclusion rule for finding the probability of the union of two events. The poem was written by Marion D. Cohen from Drexel University and published in the January 2021 issue (vol 11 number 1) of the Journal of Humanistic Mathematics.