Step 1 :Given that the mean height of men is 67.3 inches with a standard deviation of 3.3 inches, we need to find the percentage of men who meet the height requirement of between 55 and 62 inches.
Step 2 :We calculate the z-scores for the lower and upper height limits. The z-score is calculated as \((X - \mu) / \sigma\), where X is the value, \(\mu\) is the mean, and \(\sigma\) is the standard deviation.
Step 3 :For the lower limit of 55 inches, the z-score is \((-3.7272727272727266)\).
Step 4 :For the upper limit of 62 inches, the z-score is \((-1.6060606060606053)\).
Step 5 :We find the area under the normal distribution curve between these two z-scores using the cumulative distribution function (CDF) of the normal distribution.
Step 6 :The percentage of men who meet the height requirement is approximately \(5.403351568847136\) percent.
Step 7 :Final Answer: The percentage of men who meet the height requirement is approximately \(\boxed{5.40\%}\).