There are various types of bellshaped curves.
They look similar, but each bellshaped curve has two characteristics that differentiate it from the other bellshaped curves. These characteristics are as follows:

The location of μ on the number axis.

The degree of convexity of the curve (i.e., whether it is narrow and high, or wide and low).
Example 1: Two bellshaped curves with the same convexity, but different locations relative to μ .
Diagram
Example 2: Two bellshaped curves with the same locations relative to μ, but different degrees of convexity.
Diagram
Example 3: Two bellshaped curves with the same locations relative to μ, but different degrees of convexity.
Diagram
The degree of convexity of a bellshaped curve reflects the degree of dispersal of its probability distribution. The narrower and higher the bellshaped curve, then the closer most of the results will be to the expectation, which means less dispersal. The wider and lower the bellshaped curve, then the more widely dispersed the results will be The statistical measure of the degree of dispersal reflects the standard deviation. Probability distributions with a low standard deviation reflect narrower and higher bellshaped curves, while probability distributions with a high standard deviation reflect wider and lower bellshaped curves.