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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Q. The mean absolute deviation is divided by coefficient of mean absolute deviation to calculate

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Q. The difference between highest and lowest observation is 20 and coefficient of range is 0.077 then sum of highest and lowest value is

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Q. In manufacturing company, the number of employees in unit A is 40, the mean is USD $6400 and the number of employees in unit B is 30 with the mean of Rs. 5500 then the combined arithmetic mean is

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Q. If the quartile deviation of given set of data of 20 observations is 12 then value of the standard deviation is

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Q. The high uniformity of 50% observations around the median value is indicated with the help of

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Q. The relative measures in measures of dispersion are also considered as

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Q. The standard deviation is divided by the coefficient of variation to calculate

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