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Four Common Experimental Designs and How to Use Them

Data Science Research Bazaar training

Event Details

Date
Thursday, April 16, 2026
Time
1-2:30 p.m.
Location
Orchard View Room, Discovery Building
Description

Presenter: Steve Moen, Statistical Consulting Group

Collaborators: Cécile Ane and Nicholas Keuler, Statistics

High-quality experimental designs are crucial in science. In this workshop, four common ones are discussed: completely randomized designs (CRD), complete randomized block designs (RCBD), RCBDs with subsampling, and split-plot designs. Specific examples that tie to real-world analyses across disciplines are emphasized. The workshop will include an example of a consulting meeting, where scientific questions are discussed and advice is provided. 

Cost
$10
Accessibility

We value inclusion and access for all participants and are pleased to provide reasonable accommodations for this event. Please email facilitator@datascience.wisc.edu to make a disability-related accommodation request. Requests should be made by Thursday, April 2, 2026, though reasonable effort will be made to support late accommodation requests.

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