00:01
So for this problem, based on the information given, the 20 triplets that actually provide complete information would just be the triplets in the group of tumor first in the treated rat, or pardon me, it would be the 12 in that first group, and the 8 in the second group.
00:19
So really, we're just considering a distribution like this, where we have 12, 8, and a total of 20.
00:29
Now, we know that under the null hypothesis, it would be that there is, effectively, it would be that the distribution is uniform.
00:52
And for the null or for the alternate hypothesis would be that basically the prevalence is greater for treated rats.
01:12
So the way that we can do this is by finding our kai square, or doing a kai squared goodness of fit test.
01:25
We're told to do this at alpha equals 0 .01.
01:30
So we want to find the kai squared value, which would be for one degree of freedom and a right proportion of 0 .01.
01:40
So i'm just going to bring up my preferred software for finding stuff like this.
01:45
So i'm just going to do inverse cdf, kye squared distribution...