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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Q. The manner in which the geometric mean, harmonic mean and arithmetic mean are related is as

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Q. The mode is the best measure of tendency if the analysis is

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

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

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Q. In statistics out of 100, the marks of 21 students in final exams are as 90, 95, 95, 94, 90, 85, 84, 83, 85, 81, 92, 93, 82, 78, 79, 81, 80, 82, 85, 76, 85 then mode of the data is

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Q. The measure of central tendency which is calculated by considering the most frequent occurring value as central value is classified as

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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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