cancel
Showing results for 
Show  only  | Search instead for 
Did you mean: 
JMP is taking Discovery online, April 16 and 18. Register today and join us for interactive sessions featuring popular presentation topics, networking, and discussions with the experts.

Practice JMP using these webinar videos and resources. We hold live Mastering JMP Zoom webinars with Q&A most Fridays at 2 pm US Eastern Time. See the list and register. Local-language live Zoom webinars occur in the UK, Western Europe and Asia. See your country jmp.com/mastering site.

Choose Language Hide Translation Bar
Using Blocking When Designing Experiments

 

 

See how to:

  • Understand the restrictions associated with randomization, the difference between blocking and creating plots, and how to incorporate covariates into the design (1:26)
    • Blocks are about variance and let you group homogeneous factors to isolate extraneous noise associated with the factors (like time of day)
    • Plots address variability and let you organize units so you can estimate the noise/signal associated with factors
    • Incorporating covariates (uncontrolled factors related to the experiment and known before the experiment) lets you asses the impact of the related factors
  • Understand the factors related to the widget case study where manufacturers add hardening agent to slurry, stir it, control viscosity, mold it and then bake it (7:06)
  • Use Custom Designer to incorporate differences related to differences related to the day the experiment runs (8:55)
    • See how to group runs into blocks to estimate variability from day to day (Random Effect blocks)
    • See how to add Blocking Factor to calculate mean differences from day to day (Fixed Effect blocks)
    • Understand the impact of choosing Random vs. Fixed Effects on the number of runs needed for the design.
    • Understand why to choose a Split-Plot design to get estimates of signal plus noise
  • Use Custom Designer to build Split-Plot design that includes statistics related to interactions between hard-to-change and all other factors (18:28)
  • Compare incorrect and correct designs (27:00)
    • Examine Fixed Effect Test results
  • Understand and compare Split-Split-Plot and two-way Split-Plot (Strip Plot) Designs (30:16)
  • Add information about a related factor (covariate) to the model (38:43)
    • Handle mis-match between number of covariate observations and number of runs needed

Note: Includes Q& A at times 36:30, 43:53. 44:49 and 45:16.

 

Resources

Recommended Articles