00:01
All right, so for a, we want to determine the parameter of interest.
00:08
I'm sorry, it's identify the relevant parameter of interest for the quantitative data.
00:14
So for a1, we're going to have that the parameter of interest is the proportion, or actually it's the average of filling weight of all serial packages.
01:03
For a2, we want to find the point estimate.
01:09
95 % to the point estimate is equal to the sample mean, which is x bar, which is going to be 3 .68.
01:25
And then the population standard deviation, sigma is going to be 0 .08.
01:31
And we have a sample size n to be 81.
01:34
So at a 95 % confidence interval, we have alpha to be 0 .05.
01:43
And then our z is going to be 1 .96.
01:48
So our margin of error, e, is going to be z times sigma over the square root of n.
02:01
So that's 1 .96 times 0 .08 divided by the square root of 81...