Measures Of Dispersion
The variability measuring tool in which the standard deviation is divided by arithmetic mean and multiplied by 100 is classified as
coefficient of variation
coefficient of standard deviation
coefficient of deviation
coefficient of mean
coefficient of variation
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According to empirical rule, the mean and standard deviation interval that covers approximately 95.45% of data from a frequency distribution isA. μ±σ
B. 2μ±2σ
C. 3μ±2σ
D. μ±2σ
The mean absolute deviation which is used as relative measure is called
A. coefficient of quartile range deviation
B. coefficient of mean absolute deviation
C. coefficient of mean deviation
D. coefficient of absolute quartile deviation
The difference between smallest observation in data set and largest observation in data set is classified as
A. positive uniformity
B. negative uniformity
C. range
D. average
The undesirable consequences which causes the estimated population variance to appear less as compared to real results are classified as
A. undesired error
B. bias
C. non-calculate error
D. non-zero error
The average deviation measures and distance measures are classified as measures of dispersion on the basis of
A. relative processing
B. information compiled
C. data available
D. method employed
If the arithmetic mean is multiplied to coefficient of variation then the resulting value is classified as
A. coefficient of deviation
B. coefficient of mean
C. standard deviation
D. variance
If the coefficient of variation is 13.4% and the standard deviation is 12 then the arithmetic mean of that set of observations is
A. 69.5
B. 99.5
C. 59.5
D. 89.55
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