00:02
All right, so we're looking at the responses of people who gave their estimated utilities for three different designs for a new whitening toothpaste.
00:11
So these are the respondents, and these are their utilities for those different designs.
00:18
And we're going to run an analysis of variance to determine at the alpha of 0 .05, if there's any significant differences in these utilities of these three designs.
00:32
So our null hypothesis is that the mean of design a is equal to the mean of design b is equal to the mean of design c.
00:47
The alternative is that you have at least two that aren't equal.
00:52
So at least two are not equal.
01:08
And we should say at least two means.
01:17
So we assume that they're all equal, but then we're testing for it.
01:20
If there's any difference, is it significant? that's what this alternative is doing.
01:25
So we're going to run an anova, a single factor in nova, because we're just looking at one, these designs, one factor.
01:35
People respond to them.
01:37
And if we do a little summary statistics, you can see that the means are kind of close.
01:44
So there's not, and the variances are, there's some variance, but not a ton...