00:01
So we want to determine the margin of error for a 90 % confidence interval for mu, the population mean, and we're given that the sample standard deviation s is 35.
00:22
And we wanna find the margin of error for different sample sizes.
00:27
So before we do, let's kind of get the concept of what we're looking at.
00:30
So the confidence interval will be constructed with this formula, x bar plus minus t alpha over two, noting the degrees of freedom multiplied by s divided by the square of the sample size.
00:41
So we know s, right? it's 35.
00:45
And this, oh, by the way, this whole term is important.
00:48
This t times s over root n, this is our margin of error.
00:52
That's the margin of error right here.
00:56
We already know s.
00:58
The t we need to figure out.
00:59
This is gonna be 0 .10 because one minus the confidence level gives us our alpha.
01:05
So 0 .10.
01:06
The degrees of freedom is calculated as n minus one.
01:12
So this is gonna vary depending on our sample size, but we already know s, right? it's 35.
01:19
So we have n will determine the t value.
01:25
And let's go ahead and go through the first one.
01:31
So the first, i have a little table here.
01:34
The first one is sample size n is 15.
01:36
The degrees of freedom would be 14.
01:38
15 minus one is 14.
01:39
The t score is here.
01:41
And to get this, i use the following spreadsheet function, tinv.
01:49
And then you put in your alpha, 0 .10...