Matthew S. answered 04/26/20
Ph in Operations Research with extensive background in probability
Let X = height of randomly selected US male in centimeters
We want P(150 < X < 200).
We'll need the number of standard deviations between 176 cm (the mean) and 150 cm (the lower limit of acceptable height): (176 - 150)/7.5 ≈ 3.47
Also the number of standard deviations between 176 cm and 200 cm (the upper limit of acceptable height): (200 - 176)/7.5 ≈ 3.2
Using this information, P(150 < X < 200) can be converted to a z-value lookup:
P(150 < X < 200) = P(-3.47 < z < 3.2), where z is standard normal. The result, rounded to 3 decimal places, is 0.999. This is according to RStudio