00:01
So questions one and two talk about the data being mound shape.
00:03
So we have mound shape data with a mean of 60 and a standard deviation of 11.
00:10
And so if we want to go from 49 to 71, we can see that that is going out one standard deviation away from the mean.
00:23
And if this distribution is approximately mound shape, this would be a z value.
00:28
If we can assume it's approximately normal since it's mound shape, then you can end up.
00:35
So i'm not sure what you're being taught.
00:37
This z value would be negative 1, and this z value would be positive 1.
00:41
That's going to be approximately 68%.
00:44
We can actually do the calculation and do the area below 1 is 0 .843 minus the area below negative 1, which is 0 .1587, and 0 .843 .3, minus the area below negative 1, which is 0 .1587, and 0 .84 .4 .3.
00:58
13 minus 0 .1587 is going to come out to be 0 .6826.
01:06
So that's assuming that this distribution is mound shape and approximately normal.
01:12
I'll show you what you can't you you can use shabby shav's theorem, but i think that's what they're asking for...