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help > RE: contrast ANOVA
Oct 15, 2016 03:10 AM | Andrew Zalesky
RE: contrast ANOVA
Hi Zhao, thanks for your question.
The null hypothesis tested in both designs is as follows:
H0: mean_A = mean_B = mean_C
Please provide a numerical example if you believe that this is not the case.
Neither of the above designs test the null hypothesis: (B - mean) + (C - mean) + (D - mean) = 0
Andrew
Originally posted by Zhao Yuan-fang:
The null hypothesis tested in both designs is as follows:
H0: mean_A = mean_B = mean_C
Please provide a numerical example if you believe that this is not the case.
Neither of the above designs test the null hypothesis: (B - mean) + (C - mean) + (D - mean) = 0
Andrew
Originally posted by Zhao Yuan-fang:
Dear Andrew,
I think the above contrast vector you give may be not suitable to give a correct F-test on whether any two of the four conditions are different. In your above example, I think the contrast vector [0 1 1 1] in your above example tests the null hypothesis: (B - mean) + (C - mean) + (D - mean) = 0; This null hypothesis has never been equal to (B - mean) = (C - mean) = (D - mean) = 0, which I think is the correct form of a F-test.
If I am somewhere wrong, please let me know.
Best.
I think the above contrast vector you give may be not suitable to give a correct F-test on whether any two of the four conditions are different. In your above example, I think the contrast vector [0 1 1 1] in your above example tests the null hypothesis: (B - mean) + (C - mean) + (D - mean) = 0; This null hypothesis has never been equal to (B - mean) = (C - mean) = (D - mean) = 0, which I think is the correct form of a F-test.
If I am somewhere wrong, please let me know.
Best.
Threaded View
Title | Author | Date |
---|---|---|
Andreas Hahn | Nov 14, 2014 | |
Andrew Zalesky | Nov 16, 2014 | |
Charanya Muralidharan | Nov 9, 2017 | |
Andrew Zalesky | Nov 10, 2017 | |
Charanya Muralidharan | Nov 13, 2017 | |
Yuan-Fang Zhao | Oct 14, 2016 | |
Andrew Zalesky | Oct 15, 2016 | |
Andreas Hahn | Nov 18, 2014 | |
Andrew Zalesky | Nov 19, 2014 | |