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Moments_ Skewness_ and Kurtosis MCQs for Competitive Exams

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Moments_ Skewness_ and Kurtosis MCQs for Competitive Exams

Practice with answers, explanations, and exam-focused revision notes.

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Topic Notes: Moments_ Skewness_ and Kurtosis

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Moments_ Skewness_ and Kurtosis MCQs in Statistics are useful for candidates who need targeted practice for CSS, PMS, FPSC, PPSC, NTS, entry tests, and other competitive exams in Pakistan. This topic page is designed for quick revision, repeated practice, and exam-focused preparation.

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11
A distribution is characterized as having a zero third moment about the mean. What type of distribution is this?
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12
In a dataset of 20 observations, the mode is 18 and the skewness (defined as Mean - Mode) is 5. What is the arithmetic mean of these observations?
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13
What is the correct formula for calculating the r-th moment about the mean for grouped data?
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14
How are the coefficients of skewness developed by Karl Pearson, Professor Kelly, and Professor Bowley classified?
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15
In a skewed distribution, how do the mean, median, and mode compare to one another?
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16
Which coefficient of skewness is recommended for distributions with open-ended classes or poorly defined modes?
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17
Which type of distribution is characterized by a tail that extends toward the lower values, indicating the presence of outliers on the left side?
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18
In a negatively skewed distribution, what is the typical relationship between the mean, median, and mode?
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19
In a unimodal distribution, what is the skewness classification if the mode is less than the mean?
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20
What is the value of the first moment about the mean for any dataset?
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