Hi Kaitlyn,
This is a similar problem to the ones you posted earlier, just slightly different terminology. X-bar refers to a sample mean, which indicates that we need our old friend standard error. Recall:
SE=s/sqrt(n) where:
s=standard deviation
n=sample size
For this problem:
s=78.3
n=180
SE=78.3/sqrt(180)
SE=5.84
Now, we use our other old friend, z=(x-mu)/sigma, but substitute standard error in for sigma and x-bar in for x.
Thus, we have:
z=(x-bar-mu)/SE where:
x-bar=sample mean
mu=population mean
SE=standard error
Now, for this problem:
x-bar=151.2
mu=164
SE=5.84
Thus:
z=(151.2-164)/5.84
z=-2.19
From z-table--go to -2.1 in left column, 0.09 on right row:
P(Z<-2.19)=0.0143
Since we have a normal distribution:
P(Z<-2.19)=P(X-bar<151.2)=0.0143
But the question asks for greater than 151.2, so:
P(X>151.2)=1-P(x<151.2)=
1-0.0143=0.9857
P(X>151.2)=0.9857
I see you posted another question like this. See if you can work that one on your own; post again if you have any questions. Good luck.
Joshua L.
10/05/23
Kaitlyn K.
Yes, I have gotten this question wrong and did the work like you have. Not sure what I am doing wrong10/05/23