00:02
Okay, the question says, right, large sample test of alpha -a -square is going to the variance there when n is greater than or equal to 30, we can test.
00:16
Now i've got this is that the variance is equal to a squared or standard deviation, where it's given that z is going to s plus the standard deviation over the standard deviation divided by the root of 2n there, which is a value of random variables, distribution is approximately the standard normal distribution a that's the question says with reference to example 10 .5 test at the level 0 .05 level of significance whether the standard deviation is equals to 10 years against the alternative that the standard deviation is not equal to 10 years right and b says it is suspected that the variance of the distribution of in kilometers achieved for 5 kilometers of fuel by a new automotive model equipped with the diesel engine is less than the variance of the distribution of distances achieved by the same model equipped with a 6 -cylinder gasoline engine which is known to be variance is equal to 6 .25.
01:27
If 72 test runs in the diesel model have a variance of 4 .5 form for one.
01:38
Then we conclude that at the 0 .05 level of significance that the variance of the distances achieved by the diesel model is less than that of the gasoline model.
01:57
Can we conclude at the 0 .05 level of significance that the variance of the distance achieved by the diesel model is less than that of the gasoline model so that's our p there so let's see how we work on these ones so first of all a right a we are saying that our hypothesis there is is a standard deviation is equal to 10 and then that's the now hypothesis and the alternative says the standard deviation is not equal to 10 there right so and the z how do you get the z z z will be from exercise 10 .5 would be 9 .9 minus which is our s there minus 10 standard deviation there divided by the standard deviation over uh two times n which is hundred right two there and then it gives us 2 .6 9 there and so we are saying the p value is the probability that z is less than 0.
03:17
I mean 2 .6 negative 2 .69, right? plus the probability that z is greater than 2 .69 there.
03:29
And what we are getting is 0 .072 there.
03:34
So hence there is sufficient evidence to conclude that the standard deviation is different from 10.
03:45
So it's not equal to 10.
03:46
So we reject the, there is sufficient evidence to conclude that the standard deviation is different from 10...