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Teaching Statistical Inference

Ended Sep 12, 2023
1 credit

Full course description

Term: Fall 2023

Date:September 12th, 2023

Time: 1:00pm - 2:00pm

Location: Online Only 

Instructors: Kate Miller & Jennifer Van Mullekom

Presented By: Statistical Applications & Innovations Group (SAIG)



Statistical inference – inferring population parameters from sample data – is a central component of statistics education. This webinar will guide you in using JMP to teach core statistical inference techniques. We will demonstrate tools for generating point and interval estimates of common parameters and for conducting hypothesis tests using both traditional parametric methods and resampling/randomization techniques. We’ll also review JMP’s interactive concept applets and other resources for teaching statistical inference.

NOTE: Participants will also have to register with JMP for this event.  In order to do that, complete the PDN registration and then visit the Canvas site for the JMP registration information.