Moments, Skewness and Kurtosis
Considering the alpha and beta in moments, the measure of asymmetrical distribution is possible with
alpha three and beta one
alpha two and beta one
alpha three and beta four
alpha three and beta two
alpha three and beta one
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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
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
The moment about mean which is indication whether distribution is symmetrical or asymmetrical is considered as
A. first moment
B. third moment
C. second moment
D. fourth moment
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