Q. The frequency distribution is considered as negatively skewed if all the values of distribution moves to

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Q. In kurtosis, the beta is greater than three and quartile range is preferred for

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Q. In measures of skewness, the absolute skewness is equal to

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Q. Considering the moments in standard units, the fourth alpha with power 1 is equivalent to

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Q. For the Karl Pearson's skewness coefficient the value of skewness must be in limits

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Q. The distribution is considered leptokurtic if

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Q. The statistical measures such as deciles, percentiles, median and quartiles are classified as part of

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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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