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Report Thread starter 6 years ago
I need help interpreting the results from tukey tests run in the program Sigmaplot.

the results look like this:
All Pairwise Multiple Comparison Procedures (Tukey Test):

Comparison Diff of Ranks q P<0.05
SF0.08 vs SF1.28 292.000 6.334 Yes
SF0.08 vs SF0.5 187.000 4.057 Yes
SF0.08 vs SF0.2 52.000 1.128 No
SF0.08 vs SF0 4.000 0.0868 Do Not Test
SF0 vs SF1.28 288.000 6.248 Yes
SF0 vs SF0.5 183.000 3.970 Yes
SF0 vs SF0.2 48.000 1.041 Do Not Test
SF0.2 vs SF1.28 240.000 5.206 Yes
SF0.2 vs SF0.5 135.000 2.929 No
SF0.5 vs SF1.28 105.000 2.278 No

Note: The multiple comparisons on ranks do not include an adjustment for ties.

A result of "Do Not Test" occurs for a comparison when no significant difference is found between the two rank sums that enclose that comparison. For example, if you had four rank sums sorted in order, and found no significant difference between rank sums 4 vs. 2, then you would not test 4 vs. 3 and 3 vs. 2, but still test 4 vs. 1 and 3 vs. 1 (4 vs. 3 and 3 vs. 2 are enclosed by 4 vs. 2: 4 3 2 1). Note that not testing the enclosed rank sums is a procedural rule, and a result of Do Not Test should be treated as if there is no significant difference between the rank sums, even though one may appear to exist.

the SF0 - SF1.28 are the values of the doses I used, and i'm trying to figure out which dose is significant.

I'm not sure if I've explained this well enough, but i've been staring at it for a good 4 hours now and can't figure it out.

any help would be appreciated.


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