00:01
In this question, the sample mean given here, which is x bar, so this is 112, and the standard division for the sample, which was given as 10 here.
00:09
So in the first part of the question, the confidence level was given as 96 percent and the sample size, which is 25.
00:16
First of all, let me just write the formula for the confidence interval for the population mean.
00:23
So the confidence interval for the population mean, this is sample mean, plus or minus, because we know the sample standard division, use the t distribution, and sample standard division divided by root n.
00:33
Let me get the t value here.
00:34
So the alpha is 1 minus confidence level.
00:37
I need alpha over 2, that means this is 1 minus 0 .96, which is the 96 percent, divided by 2 would be 0 .02.
00:44
And also, i need the degrees of freedom, which is n minus 1 here, so this is 25 minus 1, which would be 24.
00:52
To get the t value here, what am i supposed to do? i'm going to use the inverse t function.
00:55
This is 0 .02, and the degrees of freedom, which is 24.
00:59
Press second, variance, and the inverse t here.
01:02
This is 0 .02, and then 24.
01:05
So the value would be negative 2 .172 here.
01:10
In the last step, i'm going to put everything to the formula.
01:12
So the sample mean, 112 plus or minus 2 .172, and times standard division divided by square root of the sample size, which is 25.
01:22
112, this is plus 2 .172, and times, this is 10 divided by square root of 25, which is 5.
01:30
So the upper boundary would be 116 points.
01:33
So how many decimal places we need? nothing given here.
01:36
Let me just write with one decimal places.
01:39
And the lower boundary, i'm going to get the same expression, just change the operation between them, which would be 107 and 0 .7 here.
01:47
This is the interval for the first part.
01:50
And the b here, the confidence level is again, this is 96 percent, but the sample size given here, which is 11.
01:58
So the alpha over 2 is again 0 .02, but the degrees of freedom, 11 minus 1, which is 10.
02:03
Let's get the t value here.
02:05
Again, i'm going to use the inverse t function, 0 .02, and then 10.
02:09
Press second, variance, and the inverse t here.
02:12
This is 0 .02, and then 10...