00:01
There's a simple random sample of 90 items.
00:03
So there's our sample size, 90.
00:06
And we got a sample mean, x bar, of 80.
00:09
We also know the population standard deviation, sigma.
00:13
It's 15.
00:14
Okay, and we want to make a 95 % confidence interval for the population mean.
00:20
So you need to know the formula for this.
00:23
It's the formula for an interval for the population mean based on a sample mean with a known population standard deviation.
00:31
That formula is x bar plus and minus the margin of error z sigma over root n.
00:39
So we have everything here except z, which we get from a level of confidence.
00:45
So our sample here is a member of a family of samples, every sample of size 90.
00:52
And if you were to take all of these sample means and plot them out, you would get an approximately normal distribution, the sampling distribution.
01:00
We put our sample mean in the middle here, we make an interval around it.
01:05
And we say that 95 % of the area of this curve is in the interval, so we are 95 % confident we have captured the population mean.
01:15
That leaves 5 % in the tails, so each tail is 2 .5%.
01:20
And z is the z score to exclude these tails.
01:27
So sometimes they give you a table of these, but if not, you can need a table of these use the inverse normal function on your graphical calculator or excel or r.
01:35
This is a cumulative function, putting the area to the left, it gives you the critical value.
01:41
So put in 0 .025 or 0 .975, and it gives us z is 1 .960.
01:51
There we go.
01:52
Now we have everything we need to compute the interval.
01:57
So we have 80 plus and minus...