Hi Pamela,
I’m assuming your standard deviation is a population standard deviation, which means we can use Z since your sample size is large. For an individual value, we can use the classic equation in introductory statistics:
z=(x-mu)/sigma where:
x=single value you are given
mu=population mean
sigma=population standard deviation
Here,
x=146.1
mu=141.2
sigma=27.6
z=(146.1-141.2)/27.6
z=0.18
Now, go to the z table, find 0.1 at left, 0.08 at top.
This gives: P (Z<0.18)=0.5714
To get P(Z>0.18)=P(x<146.1), take:
1-P(Z<0.18)=
1-0.5714=0.4286
That answers the first question.
For the second question, we have a slightly different formula since we’re working with a sample:
z=(xbar-mu)/SE
xbar=sample mean
mu=population mean
SE=standard error, which has its own formula
SE=sigma/sqrt(n)
sigma=standard deviation
n=sample size
Here,
sigma=27.6
n=116
SE=27.6/sqrt(116)
SE=2.563
Returning to original formula:
z=(xbar-mu)/SE
xbar=141.1
mu=146.1
SE=2.563
z=(141.1-146.1)/2.563
z= -1.95
Fom Z-table,
P(Z< -1.95)=P(xbar<141.1)=0.0256
Now to get P(xbar>141.1), take:
1-P(xbar<141.1)
1-0.0256=0.9744
I hope this helps.