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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Q. If the standard deviation is 7 then mean absolute deviation is

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Q. According to empirical rule, the standard deviation and mean interval that covers approximately 99.75% of data from a frequency distribution is

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Q. The theorem which states least percentage of values that fall within z-standard deviations is classified as

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Q. The categories of measures of dispersion are classified as

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Q. The population variance is also called

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

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