In a port, the median weight of a container is 4,700 lbs, with a standard deviation of 500 pounds. 14% of the containers weigh more than 5,900 pounds.

Why can't this data be represented by a normal distribution?

Because the containers are too heavy.

Because the standard deviation is too small.

Because the standard deviation is too big.

Because we don't know the number of containers.

Question

Mathematics

Gizmo

25 October, 04:23

In a port, the median weight of a container is 4,700 lbs, with a standard deviation of 500 pounds. 14% of the containers weigh more than 5,900 pounds.

Why can't this data be represented by a normal distribution?

Because the containers are too heavy.

Because the standard deviation is too small.

Because the standard deviation is too big.

Because we don't know the number of containers.

+5

Answers (2)

Know the Answer?

Case Harper · Answer 1

A normal distribution works best for a very large sample size. Without knowing the number of containers, it's difficult to say whether or not it's an appropriate model for representing the distribution of container weights.

Lucy Simon · Answer 2

Because the standard deviation is too big.