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In a symmetrical distribution the coefficient of skewness is equal to.
None of these
0
+1
-1
The lack of symmetry is called________.
skewness
Equidistant
Kurtosis
consistent
The mean deviation can never be
Zero
Negative
None of these
Positive
Second moment about mean is called
Standard deviation
Variance
Coefficient of variation
Mean deviation
In measure of relative dispersion unit of measurement is.
Changed
Does not vanishes
Vanishes
None of these
Greek
Latin
Dutch
German
A data having least C.V is considered more__________.
None of these
Consistent
Skewness
Equidistant
The difference between largest and smallest observation is called
Class interval
Interval
Difference
Range
Lack of symmetry is called
Kurtosis
All of them
Normality
Skewness
The positive square root of the mean of the squares of deviations of values from their mean is
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