In a symmetrical distribution, how are the mean, median and mode related?
Correct answer A. Coincide
Topic / 47 questions
Measures of Dispersion MCQs test how well you understand the spread of data around an average, using range, quartile deviation, mean deviation, variance and standard deviation. They suit statistics students, lecturer test candidates and job-seekers facing quantitative papers. Every question on this page shows its correct answer instantly, so you can check your reasoning as you go.
Correct answer A. Coincide
Correct answer B. Positively skewed
Correct answer A. 0
Correct answer B. Dispersion
Correct answer D. |b| × M.D. of x
Correct answer B. Karl Pearson
Correct answer C. Two extreme class boundaries
Correct answer C. Standard deviation
Correct answer B. Variance of data − h²/12
Correct answer A. Less than S.D.
Correct answer A. Independent
Correct answer A. 68.27%
Correct answer A. A.M.
Correct answer C. Normal
Correct answer B. Different
Correct answer B. A.M.
Correct answer D. 4/5
Correct answer D. Mean
Correct answer B. 50
Correct answer B. Variance
This topic covers the main tools statisticians use to describe variability. You will meet questions on the range of a constant data set, why the range is a poor measure for open-ended distributions, and how variance and standard deviation behave under linear change, for example why the standard deviation of y = ax + b equals |a| times that of x. Other items deal with moments about the origin and the mean, the coefficient of variation and the share of values falling within one standard deviation of the mean. These ideas appear regularly in statistics papers for lecturer posts, economics optional subjects and university entrance tests.
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The main measures of dispersion are the range, quartile deviation, mean deviation, variance and standard deviation. Relative measures such as the coefficient of variation compare spread between data sets with different units or means. MCQs often ask which measure is most reliable, and the standard deviation is usually the answer because it uses every observation.
Adding the same constant to every value shifts the whole data set without changing the distance between values, so the spread stays the same. Multiplying by a constant does change it: the standard deviation is multiplied by the absolute value of that constant, and the variance by its square. This rule is tested often in dispersion MCQs.
MCQs360 currently has 49 Measures of Dispersion MCQs, each with its correct answer shown instantly. Practice is free and needs no sign-up, so you can work through the full set, revisit questions on variance and moments, and return to the ones you found difficult before a statistics or lecturer test.
Last reviewed October 2026