JMP - Analysis of Covariance Tutorial

If you are at a university other than UCSD and have found this or any of my other videos to be useful, please do me a favor and send me a note at [e-mail] indicating your university affiliation and which videos you've found useful.
Thank you! - Dr. Julian Parris
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Tutorial on the analysis of covariance in JMP
Datasets available at: tinyurl.com/4xn...

[@vitus1487]

I took statistics from a math based approach and never learned how to work statistics programs properly with the result being a very frustrated scientist knowing exactly what analysis to use and no idea how to tell JMP how to do it. With that in mind, your postings are incredibly helpful!

[@justinr.st.juliana4843]

This was a great tutorial. It shows the analysis several times and has a great explanation. Excellent demonstration.

[@kirkolson1511]

You do an awesome job making statistics understandable, wish I had a professor like you when I was taking stats in grad school. Thanks for these tutorials!

[@jojito29]

Thanks for putting the time into this!
you helped me a lot
:)

[@yossarean]

Really useful, and very well explained - thanks!

[@JonesyYaoi]

very helpful. Thank you so much

[@far3v]

Thanks so much! I found this very helpful!

[@ashleymorhardt7540]

This is a great video. Quick question, though. When I run Fit Model in the way you describe, my output includes everything but a regression plot. Any idea what I am doing wrong or what I can do to get that regression plot to show up? Thanks.

[@desmatters]

this has been helpful, but it could be more helpful to me. First of all my reason for using ancova is different than any of the examples used. I want to know if a specific response is higher for a certain concentration of calcium and whether the response is different over time. therefore, time is a covariant. Also, I don't know how to get plots to show up for the fit model. Do you have another tutorial that shows how you set up your information to get it to display the graphs? I found that there is an interaction between time and % not moving. How do I figure out what this difference is? I assume I can use Tukey's, but it won't allow me to choose this option. Thanks for posting this video.

[@vLabBook]

I have a question regarding your last dataset. The final report shows that drug A is better than B and B is better than C, BUT if you look at the plot, C has the highest value at each weight, followed by B followed by A. Why did the output show that A was the best?

[@Venkah]

hi , thats great thanks. How can I analyse my data if it is non parametric i.e not normal??

[@watchurwa]

did you test on normal distribution before?

[@PatrickGiuliano]

Good idea. Here is a great companion video from Julian in this direction: ruclips.net/video/jFlFgABopT0/видео.html

[@peggyostrom196]

great - a bit fuzzy and text small. (Michigan State University)