0:00
All right.
00:01
So here we're given lots of information and we're told to figure out what to do with it.
00:06
So the mean age of students at the university is 31 years, with a standard deviation of two years.
00:14
And they sampled 15 grad students.
00:19
And the sample mean of those 15 students was 32 years and the sample of standard of variation of three years.
00:31
Are the data significant at the 1 % level? we'd call that the alpha of 0 .01 so we'd say that and the p value is is we're given is 0264 so based on the question or on the problem statement we have all the information and this is the outcome of the test we'd end up doing like a we'd look at some z scores we'd confirm the z score of the sample distribution but then we get the p value boom.
01:13
And before we do any statistical analysis, we first state the hypotheses.
01:19
So we'll figure to tell, well, we'll say what all this means after we state our hypotheses.
01:24
So the null hypothesis is that the mean age at the university is, in fact, 31 years.
01:30
The alternative is that, no, it's bigger, bigger than 31...