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Moments, Skewness and Kurtosis
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Moments, Skewness and Kurtosis
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Moments, Skewness and Kurtosis
In moments, the alphas whose values depends on shape of frequency curve are
alpha one and two
alpha one and two
alpha three and four
alpha one and four
Author:
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Moments, Skewness and Kurtosis
The statistical measures such as average deviation, standard deviation and mean are classified as part of
deciles system
moment system
percentile system
quartile system
Author:
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Moments, Skewness and Kurtosis
The moment about mean which is considered as measure of dispersion and is equivalent to variance is called
eighth moment
fifth moment
first moment
second moment
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Moments, Skewness and Kurtosis
In kurtosis, the frequency curve which is also classified as normal curve is called
mega curve
mesokurtic
leptokurtic
platykurtic
Author:
rikazzz
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Moments, Skewness and Kurtosis
For the grouped data in calculation of moments from mean, the formula to calculate this measure is
2⁄n Σn(x+mean)r
2⁄n Σn(x+mean)x
1⁄n Σf(x-mean)r
2⁄n Σf(x-mean)r
Author:
rikazzz
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Moments, Skewness and Kurtosis
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
23
7
13
43
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
The unifying method to summarize the statistical measure of descriptive nature is called
unifying momentum
momentum summary
moments
momentum
Author:
rikazzz
Comment
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
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
In measures of skewness, the absolute skewness is equal to
mean+mode
mean-mode
mean+median
mean-median
Author:
rikazzz
Comment
Moments, Skewness and Kurtosis
For the ungrouped data in calculation of moments from mean, the formula to calculate this measure is
1⁄n Σ(x-mean)r
2⁄n Σ(x-mean)r
2⁄n Σ(x+mean)r
2⁄n Σ(x+mean)x
Author:
rikazzz
Comment
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