Q. For the ungrouped data in calculation of moments from mean, the formula to calculate this measure is

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Q. The coefficient of skewness method in which the basis of measuring is deciles and percentiles is classified as

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Q. For the grouped data in calculation of moments from mean, the formula to calculate this measure is

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Q. The unifying method to summarize the statistical measure of descriptive nature is called

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Q. If for a distribution the difference of first quartile and median is less than difference of median and third quartile then the distribution is classified as

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Q. In a symmetrical distribution, the third quartile and first quartile of data in distribution must

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Q. The three times of difference between mean and median is divided by standard deviation to calculate coefficient of skewness by method of

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Q. According to beta, the platykurtic distribution is one in which the

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Q. Considering the mean, mode and skewness of data, the value of skewness will be positive if

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Q. In kurtosis, the frequency curve that has flatten top than normal curve of bell shaped distribution is classified as

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Q. Consider a set of observations whose mean is 14 and the mode of the same set of observations is 12 then the values of skewness around central value are

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Q. The formula of calculating moment about means for the origin or zero is

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Q. The method of calculating coefficient of skewness by Karl Pearson method is useful for the type of distributions that are

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Q. The mode of set of 20 observations is 18 and the skewness of observations around central value is 5 then the calculated value of arithmetic mean of observations is

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Q. The measures whose calculated values represents only some proportion of frequency distribution are classified as

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Q. Considering the mean, mode and skewness of data, the value of skewness will be negative if

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Q. In kurtosis, the beta is less than three and median is preferred as central tendency for

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Q. The first quartile of data set is 12, third quartile of data set is 18 and median is 9 then the absolute skewness of the same data set is

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Q. The 90th percentile is 60, 50th percentile is 30 and 10th percentile is 40 then the coefficient of skewness is

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Q. Considering the alpha and beta in moments, the measure of asymmetrical distribution is possible with

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