List the major characteristics of a normal probability distribution. (Select all that apply.) Check All That Apply Skewed. Skewed. Symmetrical. Symmetrical. Bell-shaped. Bell-shaped. Asymptotic. Asymptotic. Uniform. Uniform.

The 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.

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Symmetrical, Bell-shaped

Step-by-step explanation:

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

Normal distributions are symmetric.They are unimodal (i.e. it has only one mode).All mean, median, mode are equal.It is symmetrical around center where mean, median and mode lies.Its curve is always a bell shaped curve.

Hence, the major characteristics of a normal probability distribution:

Symmetrical, Bell-shaped

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Step-by-step explanation: