00:01
So we want to formulate a hypothesis to test whether there is a difference between the population mean satisfaction score for the two retailers.
00:08
And so we would say for part a that the mean of 1 for the null is equal to that of 2, and then alternately that the means are not equal.
00:23
Now on our part b it says assume that the experience with this, that the population standard deviation is 16 for both.
00:32
So the population standard deviation for both 1 and 2 is 16.
00:36
And we want to conduct a hypothesis test and get what that test statistic is.
00:41
And that test statistic, test stat, will end up being a z value.
00:48
And we would take the difference between the two means, and the difference between the two means is we have the 89 minus 88.
01:01
And then we would divide that by the square root of 16 squared over the sample size.
01:06
And the first sample size was 290, and then the second sample size was 300.
01:16
And then you want to find what that test statistic is.
01:20
It says round off your answer to two decimal places and then report the p value.
01:25
And so we would have 1 divided by, and we have the square root of that 16 squared divided by 290 plus that 16 squared divided by the 300.
01:41
And that gives you a test statistic to two decimal places of .76.
01:47
And then the p value for that will be the likelihood of getting a z value greater than or equal to .76, and then we'll double it...