Hi Madison,
You will need to compute two z-scores and compute the respective difference in probabilities. Given that this is a sample, formula is:
z = (xbar - mu) / (s/sqrt(n))
Again, you have two values here, so I will refer to lower z and xbar as z1 and xbar1, higher z and xbar as z2, xbar2.
xbar1 = lower sample mean = 1039.8
mu = pop. mean = 1031
s = sample standard deviation = 177
n=102
xbar2 = upper sample mean = 1083.6
z1 = (1039.8 - 1031) / (177/sqrt(102)) = 0.50
z2 = (1083.6 - 1031)/ (177/sqrt(102)) = 3.00
From z-table:
P (Z < 0.50) = 0.6915
P(Z < 3.00) = 0.9987
P = 0.9987 - 0.6915 = 0.3072
I hope this helps.