1 |
Mean deviationis always. |
More than S.D.
Equal to S.D.
Less than S.D.
None of these
|
2 |
The sum of squares of deviations is a minimum if these deviations are taken from the. |
Mean
Mode
Median
All of these
|
3 |
Moment ratios b1 and are. |
Expressed in original unit of the data
Dimensionless quantities
Independent of origin and scale of messurement
Both b and c
|
4 |
The distribution is positively skewed if. |
Mean < Mode
Mean > Mode
Mean > Median
Both b and c
|
5 |
The distribution is measokurtic if the moment coefficient of of kurtosis b2 is. |
Equal to 0
Equal to 3
Less than 3
Greater than zero
|
6 |
The distribution is symmetrical if the moment coefficient of skewense b1 is. |
Negative
Postive
3
0
|
7 |
The compare the variation of two or more than two sereies, we use. |
Mean absolute deviation
Variance
Coefficient of viariation
Corrected atandard deviation
|
8 |
Which measure of disperesion is considered as the best genereal purpose measure of dispersion. |
Range
Semi interquartile range
Standard deviation
Mean deviation
|
9 |
If the third moment about mean is zero ( m3 = 0) , then the distribution is. |
Mesokurtic
Positively skewed
Symmetrical
Negatively skewed
|
10 |
The mean deviation is least if deviations are taken from |
A.M
Mode
G.M
Median
|
11 |
For a moderately skewed dsitribution, whihc of the following emprical formula holds. |
M.D. = 4/5(S.D)
Q.D. = 2/3 (S.D)
Q.D . = 5/6 (M.D.)
All of these
|
12 |
If X and Y are independent, than Var ( X -Y) is equal to. |
Var (X) + Var (Y)
Var (X) - Var (Y)
Var (X+ Y)
Zero
|
13 |
Which of the following measures of dispersion is independent of the units employed. |
Standard deviation
Quartile deviation
<sub>Coefficient of variation</sub>
Variance
|
14 |
the standard deviation is independent of. |
Change of origin
Change of scale of measurement
Change origin and scale of meaturement
None of these
|
15 |
Range can be calculated in open-end classes. |
Never
Always
Often
Seldom
|
16 |
The sum of absolute deviations is a minimum if these deviations are taken from the |
Mean
Mode
Median
All of these
|
17 |
The sum of absolute deviations is a minimum if these deviations are taken from the |
Mean
Mode
Median
All of these
|