Answer: 0.0606
Explanation:
Given : The men's weights are normally distributed with a mean of 172 lb and standard deviation of 29 lb.
i.e.
and

and sample size : n= 81
Let x be a random variable that denotes the men's weights.
Formula :

Then, the probability that they have a mean weight less than 167 lb will be :-
![P(x<167)=P((x-\mu)/((\sigma)/(√(n)))<(167-172)/((29)/(√(81))))\\\\=P(z<(-5)/((29)/(9)))\approx P(z<-1.55)\\\\=1-P(z<1.55)\ \ [\because\ P(Z<-z)=1-P(Z<z)]\\\\=1-0.9394\ \ [\text{Using z-value}]\\\\=0.0606](https://img.qammunity.org/2019/formulas/mathematics/college/xqo1853lq09ku5sq76pa7dg7pw92ewjjrn.png)
Hence, the probability that they have a mean weight less than 167 lb = 0.0606