Question

Which phrase accurately describes a distribution that's bell-shaped but not symmetric?

Answer 1

The answer is skewed distribution.

Explanation:

Which phrase accurately describes a distribution that's bell-shaped but not symmetric?

Skewness is defined as asymmetry in a statistical distribution where the curve appears distorted or skewed either to the left or to the right, but not in the center.

When distributions possess a bell shape but is not centered, then they are called skewed distributions.

Answer 2

A skewed distribution should be the right answer. It is a distribution that's bell-shaped but not symmetric. A skewed distribution do not have a symmetric appearance unlike a normal distribution. Skewness is the measure of the asymmetry.