Question

12. Variance is a measure of
(A) Location
(B) dispersion
(C) Skewness
(D) none of these​

Answer 1

Answer:

he is a very important person to be falling

Explanation:

Answer

Answer 2

Answer:

The correct answer will be

(B) Dispersion

Explanation:

Variance -

Variance is a measure of variance that takes into account the variance of all data points in a dataset. This is the most commonly used measure of variance, and the standard deviation is simply the square root of the variance.

Dispersion -

• In statistics, variance is a measure of how distributed your data is. That is, it shows how different the values ​​in the dataset are from each other.
• The spread scale is important in determining the spread of the data around the location-scale.
• For example, the variance is a standard measure of dispersion that specifies how the data is distributed about the mean.
• Other measures of dispersion are Range and Average Deviation.

Location -

Measures of location describe the central tendency of the data. They include the mean, median, and mode.

Skewness-

• skewness is a measure of the asymmetry of distribution about a certain point. A distribution may be mildly asymmetric, strongly asymmetric, or symmetric.
• Skewness is measured on the basis of Mean, Median, and Mode.

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