Q. If in a formula, the mean absolute deviation is numerator and arithmetic mean is denominator then the resultant value is classified as

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Q. The technique which implies in statistical process to measure the variation in data is called

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Q. If the standard deviation is 5 then quartile deviation is

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Q. The value of third quartile is 72, second quartile is 52 and the first quartile is 45 then quartile deviation is

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Q. The undesirable consequences which causes the estimated population variance to appear less as compared to real results are classified as

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Q. The measuring theorem which helps in determining proportion of observations for specific interval of mean and standard deviation is classified as

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Q. Considering the individual values of data set, the actual mean must always be

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Q. Considering the set of observations, the percentage of values that lies within population mean plus two standard deviations is

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Q. The measure of variation which is useful for highly skewed distribution is

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Q. The sum of highest and lowest value is 80 and the coefficient of range is 0.625 then the difference between highest and lowest value is

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Q. The formula in which Σ(x-x̅)² is divided by one less than number of observations in sample is classified as

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Q. The formula written as quartile deviation divided by sum of third and first quartile is used to calculate

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Q. The standard deviation of first 50 natural numbers is

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Q. The standard deviation of population is denoted by

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Q. The output of 20 workers in hand made pot painting store is as 55, 65, 62, 60, 74, 75, 65, 70, 70, 72, 67, 78, 79, 80, 68, 54, 56, 63, 69, 71 then the coefficient of range is

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Q. If the arithmetic mean is 78 and coefficient of variation is 12.3% then the standard deviation is

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Q. The value of first quartile is 23 and the inter quartile range is 20 then the value of third quartile is

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Q. The measurement of inequality in wealth and income distribution is measured with the help of

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Q. The sum of squared deviation of sample mean is 48 and total number of observation is 13 then the population variance is

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Q. The sum of observations is 12 and coefficient of absolute mean deviation is 18 then value of mean absolute deviation is

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