
Andra M. answered 12/17/22
Ivy League Tutor and mentor (Columbia BA, NYU PhD)
Hi Amina,
We can compute the Z statistic. First, for a sample of n = 1:
Z = (Xmean - µ) / (σ/ √n) = (207.6-135.4)/(80.7/1) = 0.895 ~ 0.9
P(X< 207.6) = P(Z <0.90) = 0.81594, which we got from a Z score table.
Next, for a sample of n = 12:
Z = (Xmean - µ) / (σ/ √n) = (207.6-135.4)/(80.7/√12) = 3.09 ~3.1
P(M <207.6) = P (Z < 3.1) = 0.99903
The answer makes sense. For a sample of n = 1, we have a high probability of its value being smaller than 207.6, which is almost as high as µ + σ. For a larger sample of n = 12, we have a probability close to 1 that the mean of the sample will be smaller than this relatively large value of 207.6.