Hi Kaitlyn,
Here, we are given a normal (bell-shaped) distribution with known standard deviation (7), so we can use a z confidence interval to get the margin of error. The formula:
CI=x-bar +/- z*SE
Breaking this down:
x-bar=sample mean
z*=z critical value obtained from z-table
SE=standard error
Standard error has its own formula:
SE=sigma/sqrt(n), so let's compute that first.
sigma=7
n=14
SE=7/sqrt(14)
SE=1.87
Now, we need z*, and z* for a 90% two-sided confidence interval is always 1.645--you may want to memorize this value. Now, we have:
CI=x-bar +/- z*SE
x-bar=43
SE=1.87
z*=1.645
We now must address what the question asked for, which is margin of error. Margin of error is equivalent to the back end of the confidence interval. In this case:
MoE=z*SE
but it could also be t*SE if you were working with t confidence intervals. Anyway:
z*=1.645
SE=1.87
MoE=6.16
I hope this helps.
Joshua L.
10/16/23
Kaitlyn K.
Thank you for being so helpful! The margin of error wasn't 6.16. Is there another way I can solve this to find it? Thanks in advance!10/16/23