Hi Jennifer,
First of all, we need to understand "middle 36%." That means the 36 values closest to the 50th percentile--on both the positive and negative side. So we want corresponding values for [(0.50 - 0.18), (0.50 + 0.18)]. Thus:
(0.32, 0.68). Now, with those probabilities in mind, this problem uses the classic equation in elementary statistics:
z=(x-mu)/sigma
Breaking this down:
z=z-score, obtained from z-table
x=value we are looking for
mu=mean
sigma=standard deviation
Now, for this problem, we were given a mean, standard deviation, and two probabilities (percentiles) 0.32 and 0.68. That means our first task is to go to the z-table and look those probabilities up in the interior. The closest to 0.32 is 0.3192, which corresponds to a z-score of -0.47. The closest to 0.68 is 0.6808 which corresponds to a z-score of positive 0.47.
Now, returning to our initial equation:
z=(x-mu)/sigma
We've got our two z-values and we need our two x-values, so I'll compute as x1, x2 and use z1 and z2.
We now have:
z1=(x1-mu)/sigma
z2=(x2-mu)/sigma
I'll start with x1.
z1= -0.47
x1=x1
mu=240
sigma=3
Substituting:
-0.47=(x1-240)/3
Multiply both sides by 3:
-1.41=x1 - 240
Add 240 on both sides:
x1=238.59. to one decimal:
x1=238.6
Now, for x2:
z2=(x2-mu)/sigma
Substituting:
z2= 0.47
x2=x2
mu=240
sigma=3
0.47=(x2-240)/3
Multiply both sides by 3:
1.41=x2 - 240
Add 240 on both sides:
x2=241.41 To one decimal:
x2=241.4
Range in interval notation is (x1, x2), which is:
(238.6, 241.4)
I hope this helps.