Q. If the beta one is 9, beta two is 11 then coefficient of skewness is

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Q. The measurement techniques used to measure the extent of skewness in data set values are called

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Q. The statistical measures such as average deviation, standard deviation and mean are classified as part of

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Q. The method of calculating skewness which is based on the positions of quartiles and median in a distribution is called

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Q. The median of a moderately skewed distribution is 8, third quartile is 12, first quartile is 8 and inter-quartile range is 4 then relative coefficient of skewness is

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Q. The moment about population mean which is expressed in standard units is denoted by

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Q. The convenient summarizing method which is used to describe the population characteristics rather than explaining samples of that population is classified as

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Q. The moment about mean which is indication whether distribution is symmetrical or asymmetrical is considered as

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Q. The kurtosis defines the peakness of the curve in the region which is

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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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