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.

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Answer: 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

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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