A cartoon suitable for use in teaching about time series plots. The cartoon is number 252 (April, 2007) 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.
A cartoon suitable for a course website that makes use of a boxplot to display an outlier and also uses the term "statistically significant" in its punch line. The cartoon is number 539 (February, 2009) 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.
A cartoon that can help in discussing how context matters in thinking about trend and "Seasonal" patterns in time series.The cartoon was used in the July 2018 CAUSE cartoon caption contest and the winning caption was written by Karsten Luebke from FOM University in Germany. The cartoon was drawnby British cartoonist John Landers (www.landers.co.uk) based on an idea by Dennis Pearl from Penn State University.
The song may be used to teach the importance of a good graphical display in presenting statistical data. May be sung to the tune of "Hit Me With Your Best Shot" (Eddie Schwartz, Pat Benatar, 1980). An earlier version appeared in Spring 2011 issue of Teaching Statistics. Lyrics by Lawrence Lesser, University of Texas at El Paso. version here introduced at the 2013 U.S. Conference On Teaching Statistics.
Three Haiku related to regression including the topics of checking assumptions, dealing with non-linear patterns, and partitioning sums of squares. The Haiku were written by Elizabeth Stasny of The Ohio State University and were awarded a tie for second place in the poetry category of the 2011 CAUSE A-Mu-sing competition.
an old "walks into a bar" joke with a statistics twist.
RStudio Cloud makes it easy for professionals, hobbyists, trainers, teachers and students to do, share, teach and learn data science using R. Create analyses using RStudio directly from your browser - there is no software to install and nothing to configure on your computer. Share your projects - and access those of others - without worrying about data transfer or package installation. Each project defines its own environment, and RStudio Cloud automatically reproduces that environment whenever anyone accesses the project. It’s easy to share analyses with the world - but it’s also simple to collaborate with a select group in a private space. You control who can enter a space - and via roles, you have fine grained control over what each user can do. There are also many learning materials available: interactive tutorials covering the basics of data science, cheatsheets for working with popular R packages, links to Datacamp courses, and a guide to using RStudio Cloud.
This general, introductory tutorial on mathematical modeling (in pdf format) is intended to provide an introduction to the correct analysis of data. It addresses, in an elementary way, those ideas that are important to the effort of distinguishing information from error. This distinction constitutes the central theme of the material described herein. Both deterministic modeling (univariate regression) as well as the (stochastic) modeling of random variables are considered, with emphasis on the latter. No attempt is made to cover every topic of relevance. Instead, attention is focussed on elucidating and illustrating core concepts as they apply to empirical data.
Examples of real data/studies and their analyses and interpretation.
G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, ztests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses.