MCQ on Measure of Dispersion




A measure of dispersion quantifies the spread or variability of data points in a dataset. It assesses the degree of deviation from the central tendency, helping to understand the distribution’s overall diversity or concentration. This set of MCQ on Measure of Dispersion will help you to understand the concept effectively.

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Which of the following measures provides information about the spread or variability of data?

The range is calculated as:

The interquartile range (IQR) is calculated as:

Which measure of dispersion is highly influenced by extreme outliers?

The coefficient of variation (CV) is used to compare the variability of two datasets. It is calculated as:

The variance is the square of:

Which measure of dispersion is preferred when dealing with skewed data?

The mean absolute deviation (MAD) is calculated as:

Which measure of dispersion is NOT affected by extreme outliers?

The mean deviation is the average of:

The variance can never be:

The standard deviation is the square root of:

Chebyshev's inequality states that for any dataset, the proportion of data within "k" standard deviations of the mean is at least:

Which measure of dispersion considers all data values and is useful for both continuous and discrete data?

The coefficient of quartile deviation (CQD) is calculated as:



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