Moments, Skewness and Kurtosis
If for a distribution the difference of first quartile and median is greater than difference of median and third quartile then the distribution is classified as
absolute open ended
positively skewed
negatively skewed
not skewed at all
positively skewed
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In kurtosis, the frequency curve that has flatten top than normal curve of bell shaped distribution is classified asA. leptokurtic
B. platykurtic
C. mega curve
D. mesokurtic
The formula of calculating moment about means for the origin or zero is
A. 1⁄n Σfxr
B. 3⁄4 Σfxn
C. 5⁄7 Σfxr
D. 2⁄10 Σfxr
In kurtosis, the frequency curve which looks more peaked than normal curve of bell shaped distribution is classified as
A. mega curve
B. mesokurtic
C. leptokurtic
D. platykurtic
Considering the alpha and beta in moments, the measure of asymmetrical distribution is possible with
A. alpha three and beta one
B. alpha two and beta one
C. alpha three and beta four
D. alpha three and beta two
According to notations used by R.A. Fisher, the value of beta one with square root is equivalent to
A. gamma four
B. gamma one
C. gamma two
D. gamma three
The measurement techniques used to measure the extent of skewness in data set values are called
A. measure of distribution width
B. measure of median tail
C. measure of tail distribution
D. measure of skewness
The convenient summarizing method which is used to describe the population characteristics rather than explaining samples of that population is classified as
A. unstable moments
B. stable moments
C. lower moments
D. higher moments
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