Q. If the most repeated observations recorded are outliers of data then the mode is considered as

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Q. The number of observations are 30 and the value of arithmetic mean is 15 then sum of all values is

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Q. The value of Σfx is 180, A= 22, and width of class interval is 5, arithmetic mean is 120 then the observations are

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Q. The value of Σfx is 300, A= 35, number of observations are 15 and width of class interval is 5 then arithmetic mean is

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Q. The quartiles, median, percentiles and deciles are measures of central tendency classified as

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Q. Considering the probability distribution, if the mode is greater than median then the distribution is classified as

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Q. The types of descriptive measures includes

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Q. According to percentiles, the median to be measured must lie in

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Q. The frequency distribution whose most values are dispersed to the left or right of the mode is classified as

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Q. The harmonic mean, arithmetic mean and geometric mean are all considered as

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Q. The value of Σfd is 250, A= 25, number of observations are 12 and width of class interval is 6 then arithmetic mean is

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Q. If the arithmetic mean is 25 and the harmonic mean is 15 then geometric mean is

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Q. The sum of values of data is divided by total number of values is used to calculate

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Q. The difference of mode and mean is equal to

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Q. If the mean is 11 and the median is 13 then the value of mode is

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Q. If the central tendency is found by using whole population as input data then this is classified as

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Q. The criteria of inferential statistics which considers the sum of squared deviations is classified as

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Q. In a negative skewed distribution, the order of mean, median and mode is as

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Q. The measure which describes the detailed characteristic of whole data set is classified as

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Q. The extent to which the values are dispersed around the central observation is considered as

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