| 1 |
The sum of absolute deviations is a minimum if these deviations are taken from the |
- A. Mean
- B. Mode
- C. Median
- D. All of these
|
| 2 |
The mean of the absolute deviations of observations from mean, median or mode is called |
- A. Quartile deviation
- B. Absolute deviation
- C. Mean
- D. Mean deviation
|
| 3 |
The variance of 4,4,4,4,4 is. |
- A. -4
- B. (4)<sup>2</sup>
- C. 8
- D. 0
|
| 4 |
Quartile Co-efficient of skewness is also called as |
- A. Median co-efficent of skewness
- B. Pearson's 1st co-efficient of skewness
- C. Pearson's 2nd co-efficient of skewness
- D. None of these
|
| 5 |
The types of dispersion are. |
|
| 6 |
Co-efficent of quartile deviation can be calculated by the following formula |
|
| 7 |
The compare the variation of two or more than two sereies, we use. |
- A. Mean absolute deviation
- B. Variance
- C. Coefficient of viariation
- D. Corrected atandard deviation
|
| 8 |
For a symmetrical distribution. |
- A. B1 = 0
- B. B1 = 3
- C. B2 = 3
- D. B3 = 3
|
| 9 |
Mean deviation is always. |
- A. Less then S.D
- B. Equal to S.D
- C. More than S.D
- D. Negative
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| 10 |
Second moment abut mean is. |
- A. 0
- B. 1
- C. variance
- D. Standard deviation
|