Q. The Σxwis divided by Σwis used to calculate

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Q. The product A has per unit contribution of 6 with the sold quantity of 120 units, product B has per unit contribution of 8 with sold quantity of 100 units and product C has per unit contribution of 10 with sold quantity of 130 units then the weighted average mean is

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Q. The type of central tendency measures which divides data set into four equal parts is

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Q. If value of mode is 14 and value of arithmetic mean is 5 then the value of median is

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Q. The properties such as variation, central tendency and shape of distribution of frequency are basis to extract information from

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Q. The numerical value which shows the tendency around central value of cluster is classified as

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Q. The concept used in calculation of index numbers and where smaller observations must be taken into consideration is called

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Q. The distribution which has outliers with relatively lower values is considered as

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Q. The calculation of average which is calculated by pooling the data together from different data sets is classified as

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Q. In the measure of central tendency, the sample statistic is denoted by

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Q. For the individual observations, the reciprocal of arithmetic mean is called

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Q. If the arithmetic mean is 20 and the harmonic mean is 30 then geometric mean is

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