Statistical Inference & Techniques

  • A game for the active learning of concepts in experimental design and hypothesis testing in the one sample, two-sample and matched pairs situation. Memorathon is an on-line game in which a person is expected to repeat a sequence of buttons provided by an electronic device. Each time you successfully repeat the given sequence of buttons, the sequence gets longer. The challenge is to remember as long a sequence as possible. Cognitive psychologists test short-term memory using serial recall, which evaluates the ability of people to recall information in the specified order in which it was presented. Measuring how many items a subject can remember in order without an error, called memory span, is also studied. The Memorathon Game is an example of serial recall and memory span. This on-line game provides students the opportunity to design multiple versions of the Memorathon Game in order to test which variables have the largest effect on memory. You can leave all the variables blank when you are simply trying out the game, however, if you want to find your score in the database of results, input any specific course ID and student ID. Memorathon is part of the Stat2Labs collection at Grinnell College which includes instructor notes and student handouts.
    5
    Average: 5 (1 vote)
  • A game to help in the active learning of concepts in experimental design, regression, and significance testing. Shapesplosion is an on-line game in which a person is expected to place specifically shaped pegs into the appropriate holes within a short time period. In this project, students are asked to use the Shapesplosion game to design an experiment and collect data. This game is specifically designed so that students have the opportunity to develop and test their own unique research question. You can leave all the variables blank when you are simply trying out the game, however, if you want to find your score is the database of results, you will need to select the Participant Info box. This resource is particularly suitable for project oriented teaching and is part of the Stat2Labs collection at Grinnell College that includes instructor notes and student handouts created with funding from NSF-DUE grant #1043814 (Shonda Kuiper, PI).
    0
    No votes yet
  • A joke for discussing how transformations can make data more normal and stabilize variances across groups with different means (here the square root transformation for Poisson data). The joke was written in 2016 by Larry Lesser from The University of Texas at El Paso.

    0
    No votes yet
  • A "haiku" poem written by Larry Lesser from The University of Texas at El Paso. The poem is a playful vehicle to help introduce the chi-square test for contingency tables.
    5
    Average: 5 (1 vote)
  • A cartoon to be used for discussing the normality assumption in statistical models. The cartoon was used in the September 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Eugenie Jackson, a student at University of Wyoming while the drawing was created by John Landers using an idea from Dennis Pearl. A second winning caption was by Amy Nowacki from Cleveland Clinic/Case Western Reserve University whose entry “The dangers of driving more than 3 standard deviations below the speed limit,” would be useful in a classroom discussion of z-scores (see "Cartoon: Pile-UP II") Honorable mentions that rose to the top of the judging in the September caption contest included “Big pile-up at percentile marker -1.96 on the bell-curve. You might want to take the chi-square curve to avoid these negative values,” written by Mickey Dunlap from University of Tennessee at Martin; “Call the nonparametric team! This is not normal!” written by Semra Kilic-Bahi of Colby-Sawyer College; “I assumed the driving conditions today would be normal!” written by John Vogt of Newman University; and “CAUTION: Z- values seem smaller than they appear. Slow down & watch for stopped traffic reading these values,” written by Kevin Schirra, a student at University of Akron.
    0
    No votes yet
  • A cartoon to be used for discussing the nature of conclusions for a significance test. The cartoon was used in the November 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Andrea Boito from Penn State University, Altoona, while the drawing was created by John Landers using an idea from Dennis Pearl. Two honorable mentions that rose to the top of the judging in the November competition included a repackaging of the classic refrain "If you torture data enough it will confess," written by Caleb Ohrn, a student at Akron University and "Did you check to see if the conditions were met? Ignore them at your own peril!" written by an anonymous author.
    0
    No votes yet
  • A cartoon to be used for discussing statistical hypothesis testing and the effect of outliers. The cartoon was used in the December 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Robert Garrett, a student at Miami University, while the drawing was created by John Landers using an idea from Dennis Pearl. A second winning caption "The sadistic ANOVA problem made most students feel headed for an F test," written by Larry Lesser from University of Texas at El Paso is well-suited to stimulate a discussion of the F test in ANOVA and about general student anxiety about statistics (see "Cartoon: The Exam II")
    0
    No votes yet
  • A cartoon to be used for discussing the F test in ANOVA and for discussing general student anxiety about statistics. The cartoon was used in the December 2016 CAUSE Cartoon Caption Contest. The winning caption was submitted by Larry Lesser at The University of Texas at El Paso, while the drawing was created by John Landers using an idea from Dennis Pearl. A second winning caption "Mark was pleased to note that he was a significant outlier. Little did he know it was a two-sided test..." written by Robert Garrett, a student at Miami University is well-suited to stimulate a discussion of statistical hypothesis testing and the effect of outliers (see "Cartoon: The Exam I")
    0
    No votes yet
  • This software makes it easier to use the R language. It includes a code debugger, editing, and visualization tools.

    0
    No votes yet
  • This is a web application framework for R, in which you can write and publish web apps without knowing HTML, Java, etc. You create two .R files: one that controls the user interface, and one that controls what the app does. The site contains examples of Shiny apps, a tutorial on how to get started, and information on how to have your apps hosted, if you don't have a server.

    0
    No votes yet

Pages

register