Q. The number of observations are 11 and the value of arithmetic mean is 19 then sum of all values is

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Q. In arithmetic mean, the sum of deviations of all the recorded observations must always be

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Q. The distribution whose outliers are higher values is considered as

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Q. The arithmetic mean is 25 and all the sum of observations is 350 then the number of observations are

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Q. Considering all the observations of arithmetic mean, the sum of squares of deviations must be less than

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Q. In a set of observations, the unusual lower and higher values are called

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Q. In the quartiles, the central tendency median to be measured must lie in

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Q. The arithmetic mean is 12 and the number of observations are 20 then the sum of all the values is

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Q. The method used to compute average or central value of the collected data is considered as

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Q. The mean or average used to measure central tendency is called

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Q. If the mean of percentages, rates and ratios is to be calculated then the central tendency measure which must be used in this situation is

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Q. At a grocery store, the number of per day sold processed fruits cans in 15 days are 50, 70, 60, 40, 30, 20, 5, 150, 55, 75, 65, 45, 35, 25, 52 then the outliers in observations are

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Q. When the data is arranged, the middle value in the set of observations is classified as

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Q. If the frequencies widely varies between different classes, then the measure of central tendency must be used is

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Q. The measure of central tendency which represents over time multiplicative effects for inflation and compound interest is considered as

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Q. Around the central value of observations, the extent to which the values depart from normal distribution is classified as

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Q. The product W has per unit contribution of 8 with sold quantity of 124 units, the product X has per unit contribution of 5 with the sold quantity of 105 units, product Y has per unit contribution of 9 with sold quantity of 135 units, product Z has per unit contribution of 12 with sold quantity of 140 units then the weighted average mean is

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Q. In the measure of central tendency, the population parameter is denoted by

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Q. The per day wage of 15 employees of different departments is as 620, 640, 750, 850, 650, 720, 730, 785, 630, 740, 900, 880, 780, 690, 850 then the value of x̅ is

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Q. The number of observations are 24 and value of x̅ is 28 then the sum of all the values is

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