![]() ![]() The fact that two SE error bars do not overlap does not let you make any conclusion about statistical significance. Observing that the top of one standard error (SE) bar is under the bottom of the other SE error bar does not let you conclude that the difference is statistically significant. When SEM bars for the two groups overlap, and the sample sizes are equal, you can be sure the difference between the two means is not statistically significant (P>0.05). However, there is one rule worth remembering: It turns out that examining whether or not error bars overlap tells you less than you might guess. When you view data in a publication or presentation, you may be tempted to draw conclusions about the statistical significance of differences between group means by looking at whether the error bars overlap.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |