brotherslpo.blogg.se - Graphpad prism 4 compatibility

We offer this test only for compatibility with old versions of Prism and other programs, but we suggest you avoid it. This test cannot compute confidence intervals, and for this reason we prefer the Tukey test This test is more powerful than the Tukey method (3), which means that it can sometimes find a statistically significant difference where the Tukey method cannot. If you assume homoscedasticity (equal SDs), you choices are: The available choices depend on whether you assume homoscedasticity (equal SDs, so equal variances) on the first tab of the ANOVA dialog.

Correct for multiple comparisons using statistical hypothesis testing Compare every mean with every other mean The choices depend on the goal you specified on the Multiple Comparisons (second) tab and whether or not you chose to assume equal SDs on the Experimental Design (first) tab. Once you’ve chosen an approach, choose the test.

Most tests in this category report confidence intervals (which we think is the best way to understand the results).

The results include actual multiplicity adjusted P values, rather than whether P is less than some threshold or whether a difference is a “discovery”.

If you aren’t sure which approach to use, Prism defaults to the first choice for three reasons:

Don’t correct for multiple comparisons.

Correct for multiple comparisons by controlling the False Discovery Rate.

Correct for multiple comparisons using statistical hypothesis testing.

A different page explains the graphing and output options.įirst, choose the approach for doing the multiple comparisons testing.

This page explains the multiple comparisons options.There are two help screens for the Options tab for the one-way ANOVA dialog: