A normal distribution can be fully described by which parameters.
A) Mean, variance and probability of success.
B) Mean, variance and standard deviation.
C) Probability of success and variance.
D) Mean and variance.

Question

Quizplus · Accepted Answer

A normal distribution is fully described by its mean and variance. The mean determines the center of the distribution, and the variance determines the spread. Other parameters like standard deviation are derived from the variance, and probability of success is not a parameter of a normal distribution.

A Normal Distribution Can Be Fully Described by Which Parameters