Let m be a random variable representing the lengths of the steel rods. Since the lengths are normally distributed, we would apply the formula for determining z score which is expressed as
z = (sample mean - population mean)/(population standard deviation/square root of number of samples)
From the information given,
population mean = 176.7
population standard deviation = 1.6
number of samples = 5
sample mean = 178.8
Thus, we have
![\begin{gathered} z\text{ = (178.8 - 176.7)/(1.6/}\sqrt[]{5})\text{ } \\ z\text{ = }2.9348 \end{gathered}](https://img.qammunity.org/2023/formulas/mathematics/college/i18lnd9p22nr0lu1dc04gl1w147zoiatqi.png)
We want to find P(M > 178.8-cm). This is same as 1 - P(M ≤ 178.8-cm). To find P(M ≤ 178.8-cm), we would find the probability value corresponding to a z score of 2.9348 from the normal distribution table. It is 0.9983
Thus,
P(M > 178.8-cm) = 1 - 0.9983 = 0.0017