Collection: Interactive Teaching Modules

    The 10 interactive teaching modules, packaged into a single add-in. Ideal for teaching core statistical concepts: sampling distributions, confidence intervals, hypothesis testing for means and proportions, plus probability distributions, regression, t-Test and ANOVA.


    To access additional information and videos describing how to use the individual modules, use the links below:


    Distribution Generator

    Sampling Distribution of Sample Proportions

    Sampling Distribution of Sample Means

    Confidence Interval for Population Proportion

    Confidence Interval for Population Mean

    Hypothesis Test for Population Proportion

    Hypothesis Test for the Population Mean

    Distribution Calculator

    Demonstrate Regression

    Demonstrate ANOVA


    As of JMP 12 you can also run these modules from Help > Sample Data (under Teaching Resources >Teaching Scripts > Interactive Teaching Modules). In JMP 12 Student Edition, you can run these modules directly from Help > Teaching Demos.

    To install the add-in, open the attached file in JMP and tell JMP to install it.  In the Add-ins menu (which will be new if you don't have any other add-ins installed), there will be menu item, Teaching Modules, with options to run the individual teaching modules.


    Revision notes:

    • May 2015: This corrected an issue with labeling of probability options in the Distribution Calculator.
    • Aug 2015:  Corrected labeling issues in Hypothesis Test for Proportion, and changed the default for the continuity correction to "off".
    • Aug 2015:  For both Hypothesis Test scripts, now writing out both the test statistics and the p-values to the data table. 
    • Sept 2016:  Removed individual scripts, revised scripts for hypothesis testing (fixed a few bugs) and regression (minor improvements). Optimized to run in JMP 13 (scripts also run in previous releases).


    For use notes for any particular module, use the Help button within the module.


    Suggestions? Comments? Please reach out to JMP Academic's Mia Stephens or Julian Parris.