00:01
So we would be claiming in number one that the null hypothesis is that the mean is no more than 250 watts.
00:10
And alternately, and you might use h sub 1, that the mean is higher than 250 watts.
00:19
And then we need to look at what the test statistic will be, and that would be a z value.
00:25
And from their sample, they got the x bar to be 2506.
00:31
7 .3 less the 250 and this is a z value because our population standard deviation is known to be 15 watts and that was from a sample size of 20 and we're told that the distribution is normal so even though it's a smaller sample size we're still good to go and so we could calculate this for you and sample 257 .3 and and get this all typed in.
01:09
Okay.
01:11
And we get the test statistic to be 2 .17644.
01:17
And you use possibly you need, possibly you're rounding it off to two decimal places or you can use your software with your normal cdf to find the appropriate p value.
01:27
Now this is a one -tale test.
01:28
Now, the third value, let's look at this.
01:31
This is a test that is a one -tail test.
01:34
So if you're going to look up and find what that critical value is using 5 % significance level, all 5 % is going to be in that upper tail.
01:46
So there is no low critical value.
01:50
There is none because there's no low point down here.
01:55
And we have this upper critical value is the one we would have.
02:00
And that is corresponding to a critical value here.
02:05
Of 1 .645 and we would put all 5 % in that upper tail.
02:11
Now you're also asked to find the p value in this particular question and that's the likelihood of getting that test statistic and look look where this test statistic lies.
02:21
It lies up in here.
02:23
So we can see that we would have evidence to reject the null because this is where we reject the null and this is where we would fail to reject...