The applicable formula is;
P(X>16)
Z = (x-mean)/(SD/sqrt (N))
Where;
x = 16 oz
mean = 16.04 oz
SD = 0.15 oz
N = 36 bottles
Substituting;
Z = (16-16.04)/(0.15/Sqrt (36)) = -1.6
Therefore;
P(X>16 oz) = P(Z>-1.6)
From Z-table;
P(Z>-1.6) = 1- P(Z=-1.6) = 1 - 0.0548 = 0.9452 = 94.52%
Therefore, the probability that the sample mean is more than advertised mean is 94.525.