00:01
Okay, so for a, we're gonna do the test on hypothesis, hnu mu1 equals mu2 equals mu3, and h1, at least one of the means is different.
00:22
So to do this, we can use the one -way anova test, and here is the code in python to produce the one -way anova result.
00:30
And here is the output.
00:33
So we have the p -value of 1 .57 x 10 -15, which is less than the significance level of 0 .05.
00:44
So we reject the new hypothesis.
00:49
Now for b, since the new was rejected, we're gonna do the two -keys test to see whether which pairwise have different means.
01:03
So here is the coding python again to produce the two -keys result, and here is the output.
01:11
So the columns that you want to see is either p -value or reject...