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Online Tests
Statistics Ics Part 1 Chapter 4 Online Test MCQs With Answers
Question # 1
test2
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3
4
2
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Question # 2
The range of the scores 19,3,140,25,95,is
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140
137
143
3
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Question # 3
For a moderately skewed dsitribution, whihc of the following emprical formula holds.
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M.D. = 4/5(S.D)
Q.D. = 2/3 (S.D)
Q.D . = 5/6 (M.D.)
All of these
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Question # 4
Which is a poor measure of dispersion in open-end distribution.
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Range
Standard deviation
Variance
A.M
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Question # 5
The value of quartile deviation is always
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Positive
Zero
Negative
None of these
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Question # 6
In a skewed distribution the three averages man, median & mode are.
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identical
different
0
equal 1
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Question # 7
The sum of squares of deviations is a minimum if these deviations are taken from the.
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Mean
Mode
Median
All of these
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Question # 8
In the grouped data , the range is the difference between.
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Two extreme class frequency
Two extreme class limits
Tow extreme class boundaries
None of these
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Question # 9
The positive square root of the mean of the squares of deviations of values from their mean is
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Variance
Covariance
Standard deviation
Standard error
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Question # 10
Co-efficent of standard deviation can be measured by the following formula
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Question # 11
Teh range of the value -2, -4, -6 and -8 is.
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-6
6
-10
-4
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Question # 12
Why is it necessary to square the difference from the mean when computing the standard deviation.
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So that the extreme values will not affect the calculation
Some of the differnece will be positive and some will e negative
It can change drastically from one data set to the next
It is determined by only two points in the data set
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Question # 13
The mean deviation of dispersion can be negative.
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Often
Sometimes
Always
Never
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Question # 14
The variance of 5,5,5,5,5 is.
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0
25
5
125
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Question # 15
Mean deviation = S.D
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2/3
4/5
5/6
6/5
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Question # 16
The variance of constant is always
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Constant
One
Positive
Zero
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Question # 17
Pearson's co-efficient of skewness is positive when distribution is
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Negatively skewed
Positively skewed
Symmetrical
Leptokurtic
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Question # 18
The compare the variation of two or more than two sereies, we use.
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Mean absolute deviation
Variance
Coefficient of viariation
Corrected atandard deviation
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