Now remember where I told you earlier that you needed to know if your data was normally distributed (i.e., parametric) or not?  Well, now is that time. IF you skipped that step, you can go back to the main page and follow the Is my Data Normal? link and come back here when you have figured out if your data is normal.

Assuming you know your data's normality

Let's continue:

Normally Distributed Data

My data is normally distributed:  i.e, I have  histogram that looked something like a bell, or I plotted a QQ graph that told me the data was normal and/or I used the Shapiro-Wilk or the Anderson-Darling test for normality and my results were not significant.  If so Click Here

Not Normally Distributed data

My data is not normally distributed: i.e, the histogram I plotted was all leaning one way or another, or my QQ graph did not have the data-points neatly alighted with the QQline or I went straight to Shapiro-Wilk or Anderson-Darling and returned a value below my level of risk, i.e, a probability of less than or equal to .05.  If that is the case: Click Here