The weights of 1,000 men in a certain town follow a normal distribution with a mean of 150 pounds and a standard deviation of 15 pounds.
from the data, we can conclude that the number of men weighing more than 165 pounds is about
, and the number of men weighing less than 135 pounds is about

Step-by-step explanation:

Let X be the weights of 1000 men in a certain town.

Given that X is N(150, 15)

P(X>165) = P(Z>1) =0.5-0.3413 = 0.1687

No of men weighing more than 165 pounds in 1000 men = 1000(0.1687)

=168.7 =169 men apprxy.

Similarly

P(X<135) = P(Z<2)=0.5-0.4775 = 0.0225

No of men weighing less than 135 pounds is about =0.0225(1000)

= 22.5

=22

c

step-by-step explanation:

it isn't d, because the interquartile range is from 27-57. and the interquartile range is basically half the data, it's pretty obvious.

it isn't b, because like i said earlier, the interquartile range is from 27-57. 57-27 is 30. the real range has to be longer

not a either. although it looks like it, 3/4 of the data is not greater than 27. but if c is wrong than this should be correct

the correct answer is c, because 13 is the point in which the plot starts