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.

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

Hence, the major characteristics of a normal probability distribution:

Symmetrical, Bell-shaped

hello,

b) 62.47% of the students are between 14 and 18 years old.

step-by-step explanation:

mean = 15 and standard deviation = 2

student between 14 to 18

formula used z-score

for age 14 , z score

using z-table , p(z> -0.5)=0.3085

for age 18 , z score

using z-table , p(z< 1.5)=0.9332

p(-0.5< z< 1.5)=0.9332-0.3085 = 0.6247

thus, 62.47% of the students are between 14 and 18 years old.

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