A mesuré of for a numerical data set summerizes all of its values with a single number

Center

Step-by-step explanation:

A numerical data can be defined as a data set that is expressed in numbers only or a data set consisting of numbers rather than words. A numerical data is also known as a quantitative data.

Basically, numerical data are classified into two (2) main categories and these are;

1. Discrete data: a discrete data is a data set in which the number of possible values are either finite or countable. For instance, the value of a fair die, number of sweets in a jar, number of eggs in a crate etc.

2. Continuous data: a continuous data is a data set having infinitely many possible values and those values cannot be counted, meaning they are uncountable. Any quantity such as height, volume, weight, density, length, pressure, temperature, speed, distance, time are generally a continuous data.

A measure of center for a numerical data set summerizes all of its values with a single number.

On the other hand, a measure of variation gives a description of how the values of a numerical data varies with a single number.

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step-by-step explanation:

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step-by-step explanation:

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