Sorry to do this, but I am stuck and getting dumber. I need Wildcat assistance.
I have two populations that voted on a 5-point scale. I have two separate distributions (N=115, 243 respectively), one with a mean of 3.53 and another a mean score of 4.43. Standard deviations are .69 and .81.
My hypothesis is that the results suggest that each population applied the scale (1-5) differently, and that the difference in scoring is significant (not random) and that I should re-vote after re-orienting each team.
Should I run a student's T-Test on this to be sure? I did in Excel, and the t values are very low (.00058, 00000137). Am i seeing this right?
I have two populations that voted on a 5-point scale. I have two separate distributions (N=115, 243 respectively), one with a mean of 3.53 and another a mean score of 4.43. Standard deviations are .69 and .81.
My hypothesis is that the results suggest that each population applied the scale (1-5) differently, and that the difference in scoring is significant (not random) and that I should re-vote after re-orienting each team.
Should I run a student's T-Test on this to be sure? I did in Excel, and the t values are very low (.00058, 00000137). Am i seeing this right?