| 1 |
Why is it necessary to square the difference from the mean when computing the standard deviation. |
- A. So that the extreme values will not affect the calculation
- B. Some of the differnece will be positive and some will e negative
- C. It can change drastically from one data set to the next
- D. It is determined by only two points in the data set
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| 2 |
If Mean = 25 and S<sup>2</sup> =25 the C.V is |
- A. 100%
- B. 25%
- C. 20%
- D. None of these
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| 3 |
The distribution is symmetrical if the moment coefficient of skewense b1 is. |
- A. Negative
- B. Postive
- C. 3
- D. 0
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| 4 |
The distribution is positively skewed if. |
- A. Mean < Mode
- B. Mean > Mode
- C. Mean > Median
- D. Both b and c
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| 5 |
The sum of squares of deviations is a minimum if these deviations are taken from the. |
- A. Mean
- B. Mode
- C. Median
- D. All of these
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| 6 |
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
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| 7 |
The sum of absolute deviation form median is. |
- A. zero
- B. negative
- C. least
- D. maximum
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| 8 |
Mean deviationis always. |
- A. More than S.D.
- B. Equal to S.D.
- C. Less than S.D.
- D. None of these
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| 9 |
The range of the scores 19,3,140,25,95,is |
- A. 140
- B. 137
- C. 143
- D. 3
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| 10 |
The value of quartile deviation is always |
- A. Positive
- B. Zero
- C. Negative
- D. None of these
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