Q. The sum of all the squared deviations is divided by the total number of observations to calculate

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Q. For the recorded observation, the ratios measured by absolute variation are considered as

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Q. If the arithmetic mean is multiplied to coefficient of variation then the resulting value is classified as

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Q. If the arithmetic mean is considered as average of deviations then resultant measure is considered as

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Q. If the positive square root is taken of population variance then the calculated measure is transformed into

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Q. The examples of applications of range in real world includes

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Q. The formula of coefficient of range is

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Q. In a set of observations, the amount of variation can be shown in the form of figures with the help of

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Q. If the value of first quartile is 49 and the value of third quartile is 60 then value of inter quartile range is

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Q. If total sum of square is 20 and the sample variance is 5 then total number of observations are

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Q. If the set of observations is 11, 13, 15, 12, 16, 18, 19, 14, 20, 17 and absolute mean deviation is 12 then the percentage of coefficient of mean absolute deviation is

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Q. The variability which is defined as the difference between third and first quartile is considered as

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Q. The mean of squared deviations which is calculated from arithmetic mean is called

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Q. The measure of distance which is greatly influenced by extreme values in data is considered as

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Q. The mean absolute deviation is 5 and the arithmetic mean is 110 then coefficient of mean absolute deviation is

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Q. The number of patients who visited the cardiologists are as 63, 57, 51, 65 in four days then the absolute mean deviation (approximately) is

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Q. In terms of dispersion difference, the measurement of dispersion for available data is classified as

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Q. For the set of values, the percentage of values that lies within population mean plus four standard deviations of population is

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Q. Considering the sales, the coefficient of variation for product X is 9.3% and the coefficient of variation for product Y is 8.9% then sales fluctuation of

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Q. Considering the standard deviation, the mean absolute deviation is equal to

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