Q. The sample stability and ability to be easily understandable are requirements to measure

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Q. The distribution in which the values of median, mean and mode are not equal is considered as

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Q. If the value of three measures of central tendencies median, mean and mode then the distribution is considered as

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

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Q. The value of Σfd is 165, A= 25, and width of class interval is 10, arithmetic mean is 145 then the number of observations are

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Q. The marks of 20 students out of 15 in class test are as 10, 11, 12, 12.5, 13.5, 14, 10, 11, 12, 12.5, 13.5, 14, 8, 9, 9, 8, 10, 11, 11.5, 12.5 then average marks of class is

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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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