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What is the difference between measures of central tendency and measures of dispersion?
in Data Science & Statistics by Platinum (164,234 points)
reopened by | 46,877 views

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Best answer

Measures of central tendency are mean, mode and median , whereas measures of dispersion are variance, standard deviation and interquartile range (it explains the extent to which distribution stretched or squeezed).

 

by Wooden Status (402 points)
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Measures of central tendency are statistics that represent the center or typical value of a data set. Examples of measures of central tendency include the mean, median, and mode.

Measures of dispersion, on the other hand, are statistics that describe how spread out the data in a data set is. Examples of measures of dispersion include the range, interquartile range, and standard deviation.

In general, measures of central tendency give you an idea of the center of a data set, while measures of dispersion give you an idea of the spread of the data. Together, these two types of statistics can give you a good overall picture of the data in a data set.
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Measure of dispersion is used to quantify the size of the differences of a variable. The central tendency measures its 'average' behaviour. Central tendency and dispersion measure different properties of a distribution.

by Wooden Status (500 points)
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The diference between is as follows:

  • Measures that indicate the approximate center of a distribution are called measures of central tendency. 
  • Measures that describe the spread of the data are measures of dispersion.
by Platinum (164,234 points)

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MathsGee Android Q&A

MathsGee Android Q&A