Hi Kaitlyn,
I think they pulled a trick on us with this problem. I wasn’t looking at the question carefully enough—it wants probability of a single value, not a sample mean, which I initially missed. Sorry about that. Anyway, this means you don’t have to account for standard error, so sample size is extraneous.
We can proceed with our old friend z=(x-mu)/sigma. Since we have two values here, I will use Z1, Z2, X1, and X2.
Z1=(x1-mu)/sigma
x1=110.1
mu=111.2
sigma=5
Z1=(110.1-111.2)/5
Z1= -0.22
Now, let’s find Z2. This will be quite simple because:
X2=111.2
mu=111.2
sigma=5
But sigma doesn’t matter. The calculation is:
Z2=(111.2-111.2)/sigma
Z2=0
Now, for the probability of a value between 110.1 and 111.2
P(-0.22<Z<0)=P(110.1<Z<111.2)
From z-table,
P(Z=0)=0.5
P(Z= -0.22)=0.4129
Do the subtraction
0.5-0.4129=
P=0.0871
Sorry for the confusion. That single value aspect threw me for a loop.