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Which one of the following summary-measures denotes the degree of lopsidedness in a distribution?
Question



Which one of the following summary-measures denotes the degree of lopsidedness in a distribution?

A.

Measures of central tendency

B.

Measures of variation

C.

Measures of skewness

D.

Measures of Kurtosis

Correct option is C


Skewness - Skewness is a statistical measure that indicates the extent to which a distribution of data is asymmetrical. It is a measure of the lack of symmetry of the probability distribution of a random variable about its mean.
 Central tendency - Central tendency refers to a statistical measure that indicates where the values in a distribution tend to cluster around. It is used to describe the "average" value in a set of data. There are three common measures of central tendency: mean, median, and mode.
 Variation - Variation refers to the differences or deviations that exist between individuals, populations, or things. It can manifest in different forms, such as genetic variation, environmental variation, behavioural variation, and cultural variation. Variation is an essential aspect of life and plays a crucial role in evolution, adaptation, and diversity.
 Kurtosis - Kurtosis is a statistical measure that describes the shape of a probability distribution. It measures the degree of peakedness or flatness of a distribution relative to a normal distribution. A normal distribution has a kurtosis value of 0.

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