00:01
For this problem, we are told that in a test of the null hypothesis, mu equals 100, against the alternative hypothesis, mu does not equal 100, the sample data yielded the test statistic, z equals 2 .17, and we are to find the p value for the test.
00:17
So, we can think of this as we have our normal distribution, we have our z values, and our p, our p value is going to be the area outside of that region, or to the left of the negative version of the z value and to the right of the positive version.
00:35
So we can find this by looking at our normal curve areas table and noting that this is the cumulative area from mean up to one of the values of z.
00:45
So i'll note that p is going to be equal to 1 minus 2 times the p value that we get here.
00:54
So let's see, we want z equals 2 .17.
00:57
So we go across the left -hand column here to 2 .1.
01:02
Then we go 2 .10, 0 .11, 1 -2, 1 -3, 1 -4, 15, 1 -6, and 1 -7...