00:01
So for this problem, i need to make a couple of assumptions because there is a little bit of context that's missing here.
00:06
But since we're talking about kai squared values and confidence intervals, i'm guessing this is referring to when we're trying to find a confidence interval for standard deviation, where we'd have square root n minus 1 s squared over a kai squared over, i'll just call it kye squared l for the lower value, is less than sigma, less than the square root of, n minus 1 times s squared over kye squared r.
00:35
Oops, not kai squared 9, kai squared r, where we're looking for a 95 % confidence interval here.
00:43
So we'd have that the kai squared l value should, first of all, be the larger value.
00:50
If we want it to be the larger value, then that means that we need to have the greater amount of the cumulative distribution to the left of it.
00:58
So it would be the kye squared distribution for a particular number of degrees of freedom with a probability of 1 minus alpha over 2, so 0 .975 to the left...