Question

list the major characteristics of a normal probability distribution. (you may select more than one answer. single click the box with the question mark to produce a check mark for a correct answer and double click the box with the question mark to empty the box for a wrong answer. any boxes left with a question mark will be automatically graded as incorrect.) check all that apply skewed. skewed. symmetrical.symmetrical. bell-shaped.bell-shaped. asymptotic.asymptotic. uniform.uniform.

Answer 1

he major characteristics of a normal probability distribution are Symmetrical and Bell-shaped.

We have to find, the major characteristics of a normal probability distribution.

Normal Probability Distribution is very popular among all because of its unique mathematical characteristics like;

In a normal distribution, a group of numbers and random variables can be precisely denoted using this method. Moreover, this is also a reason why the normal distribution is also called the Bell-shaped.

In this distribution, the set of all possible outcomes can take their values on a continuous range. It is also known as Continuous or cumulative probability distribution.

Normal distributions are symmetric.

Many discontinuous probability distributions can be accessed through the normal distribution.

They are unimodal (i.e. it has only one mode).

All mean, median, mode are equal.

It is symmetrical around the center where mean, median, and mode lie.

The normal distribution is followed either accurately or with a close approximation by most continuous phenomena.

Its curve is always a bell-shaped curve.

Hence, The major characteristics of a normal probability distribution are Symmetrical and Bell-shaped.