When number of trials of an experiment increases, and then the probability distribution curve becomes smoother and reaches a bell-shaped curve which is called as normal distribution. Some of the important characteristics of normal distribution are listed below.

-The area under any normal distribution must be equal to 1.

-Normal distribution is always symmetrical about the mean.

Conclusion:

Thus, some of the important characteristics of a normal distribution have been explained.

-The area under any normal distribution must be equal to 1.

-Normal distribution is always symmetrical about the mean.

Conclusion:

Thus, some of the important characteristics of a normal distribution have been explained.