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question_answer1)
The measure of dispersion is [DCE 1998]
A)
Mean deviation done
clear
B)
S.D. done
clear
C)
Quartile deviation done
clear
D)
All of these done
clear
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question_answer2)
The mean deviation from the median is [Kurukshetra CEE 1995, 98]
A)
Greater than that measured from any other value done
clear
B)
Less than that measured from any other value done
clear
C)
Equal to that measured from any other value done
clear
D)
Maximum if all observations are positive done
clear
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question_answer3)
The S.D. of 5 scores 1, 2, 3, 4, 5 is [AMU 1991; DCE 2000]
A)
\[\frac{2}{5}\] done
clear
B)
\[\frac{3}{5}\] done
clear
C)
\[\sqrt{2}\] done
clear
D)
\[\sqrt{3}\] done
clear
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question_answer4)
The variance of the data 2, 4, 6, 8, 10 is [AMU 1992]
A)
6 done
clear
B)
7 done
clear
C)
8 done
clear
D)
None of these done
clear
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question_answer5)
The mean deviation of the numbers 3, 4, 5, 6, 7 is [AMU 1993; DCE 1998]
A)
0 done
clear
B)
1.2 done
clear
C)
5 done
clear
D)
25 done
clear
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question_answer6)
If the standard deviation of 0, 1, 2, 3, ?..,9 is K, then the standard deviation of 10, 11, 12, 13 ?..19 is
A)
K done
clear
B)
K + 10 done
clear
C)
\[K+\sqrt{10}\] done
clear
D)
10K done
clear
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question_answer7)
For a normal distribution if the mean is M, mode is \[{{M}_{0}}\] and median is \[{{M}_{d}}\], then
A)
\[M>{{M}_{d}}>{{M}_{0}}\] done
clear
B)
\[M<{{M}_{d}}<{{M}_{0}}\] done
clear
C)
\[M={{M}_{d}}{{M}_{0}}\] done
clear
D)
\[M={{M}_{d}}={{M}_{0}}\] done
clear
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question_answer8)
For a frequency distribution mean deviation from mean is computed by [DCE 1994]
A)
M.D.\[=\frac{\sum d}{\sum f}\] done
clear
B)
M.D.\[=\frac{\sum fd}{\sum f}\] done
clear
C)
M.D.\[=\frac{\sum f|d|}{\sum f}\] done
clear
D)
M.D.\[=\frac{\sum f}{\sum f|d|}\] done
clear
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question_answer9)
Quartile deviation for a frequency distribution is [DCE 1998]
A)
\[Q={{Q}_{3}}-{{Q}_{1}}\] done
clear
B)
\[Q=\frac{1}{2}({{Q}_{3}}-{{Q}_{1}})\] done
clear
C)
\[Q=\frac{1}{3}({{Q}_{3}}-{{Q}_{1}})\] done
clear
D)
\[Q=\frac{1}{4}({{Q}_{2}}-{{Q}_{1}})\] done
clear
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question_answer10)
The variance of the first n natural numbers is [AMU 1994; SCRA 2001]
A)
\[\frac{{{n}^{2}}-1}{12}\] done
clear
B)
\[\frac{{{n}^{2}}-1}{6}\] done
clear
C)
\[\frac{{{n}^{2}}+1}{6}\] done
clear
D)
\[\frac{{{n}^{2}}+1}{12}\] done
clear
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question_answer11)
For a moderately skewed distribution, quartile deviation and the standard deviation are related by [AMU 1996]
A)
S.D.\[=\frac{2}{3}\]Q.D. done
clear
B)
S.D.\[=\frac{3}{2}\]Q.D. done
clear
C)
S.D.\[=\frac{3}{4}\]Q.D. done
clear
D)
S.D.\[=\frac{4}{3}\]Q.D. done
clear
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question_answer12)
For a frequency distribution standard deviation is computed by applying the formula [Kurukshetra CEE 1999]
A)
\[\sigma =\sqrt{\left( \frac{\sum \,fd}{\sum \,f} \right)-\frac{\sum \,f{{d}^{2}}}{\sum \,f}}\] done
clear
B)
\[\sigma =\sqrt{\frac{\sum \,f{{d}^{2}}}{\sum \,f}-{{\left( \frac{\sum \,f{{d}^{2}}}{\sum \,f} \right)}^{2}}}\] done
clear
C)
\[\sigma =\sqrt{{{\left( \frac{\sum \,fd}{\sum \,f} \right)}^{2}}-\frac{\sum \,f{{d}^{2}}}{\sum \,f}}\] done
clear
D)
\[\sigma =\sqrt{\frac{\sum \,f{{d}^{2}}}{\sum \,f}-{{\left( \frac{\sum \,fd}{\sum \,f} \right)}^{2}}}\] done
clear
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question_answer13)
For a frequency distribution, standard deviation is computed by
A)
\[\sigma =\frac{\sum f(x-\bar{x})}{\sum f}\] done
clear
B)
\[\sigma =\frac{\sqrt{\sum f{{(x-\bar{x})}^{2}}}}{\sum f}\] done
clear
C)
\[\sigma =\sqrt{\frac{\sum f{{(x-\bar{x})}^{2}}}{\sum f}}\] done
clear
D)
\[\sigma =\sqrt{\frac{\sum f(x-\bar{x})}{\sum f}}\] done
clear
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question_answer14)
If Q.D. is 16, the most likely value of S.D. will be
A)
24 done
clear
B)
42 done
clear
C)
10 done
clear
D)
None of these done
clear
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question_answer15)
If M.D. is 12, the value of S.D. will be
A)
15 done
clear
B)
12 done
clear
C)
24 done
clear
D)
None of these done
clear
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question_answer16)
The range of following set of observations 2, 3, 5, 9, 8, 7, 6, 5, 7, 4, 3 is [DCE 1998]
A)
11 done
clear
B)
7 done
clear
C)
5.5 done
clear
D)
6 done
clear
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question_answer17)
If v is the variance and s is the standard deviation, then [Kurukshetra CEE 1995]
A)
\[{{v}^{2}}=\sigma \] done
clear
B)
\[v={{\sigma }^{2}}\] done
clear
C)
\[v=\frac{1}{\sigma }\] done
clear
D)
\[v=\frac{1}{{{\sigma }^{2}}}\] done
clear
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question_answer18)
If each observation of a raw data whose variance is \[{{\sigma }^{2}}\], is multiplied by l, then the variance of the new set is [Pb. CET 1993]
A)
\[{{\sigma }^{2}}\] done
clear
B)
\[{{\lambda }^{2}}{{\sigma }^{2}}\] done
clear
C)
\[\lambda +{{\sigma }^{2}}\] done
clear
D)
\[{{\lambda }^{2}}+{{\sigma }^{2}}\] done
clear
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question_answer19)
For a given distribution of marks mean is 35.16 and its standard deviation is 19.76. The co-efficient of variation is
A)
\[\frac{35.16}{19.76}\] done
clear
B)
\[\frac{19.76}{35.16}\] done
clear
C)
\[\frac{35.16}{19.76}\times 100\] done
clear
D)
\[\frac{19.76}{35.16}\times 100\] done
clear
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question_answer20)
If 25% of the item are less than 20 and 25% are more than 40, the quartile deviation is
A)
20 done
clear
B)
30 done
clear
C)
40 done
clear
D)
10 done
clear
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question_answer21)
For a normal curve, the greatest ordinate is
A)
2 ps done
clear
B)
\[\sigma \sqrt{2\pi }\] done
clear
C)
\[\frac{1}{\sqrt{2\pi \sigma }}\] done
clear
D)
\[\frac{1}{\sigma \sqrt{2\pi }}\] done
clear
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question_answer22)
If the variance of observations \[{{x}_{1}},\,{{x}_{2}},\,......{{x}_{n}}\] is \[{{\sigma }^{2}}\], then the variance of \[a{{x}_{1}},\,a{{x}_{2}}.......,\,a{{x}_{n}}\], a ¹ 0 is
A)
\[{{\sigma }^{2}}\] done
clear
B)
\[a\,{{\sigma }^{2}}\] done
clear
C)
\[{{a}^{2}}{{\sigma }^{2}}\] done
clear
D)
\[\frac{{{\sigma }^{2}}}{{{a}^{2}}}\] done
clear
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question_answer23)
The mean deviation from the mean for the set of observations ?1, 0, 4 is
A)
\[\sqrt{\frac{14}{3}}\] done
clear
B)
2 done
clear
C)
\[\frac{2}{3}\] done
clear
D)
None of these done
clear
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question_answer24)
The mean and S.D. of 1, 2, 3, 4, 5, 6 is
A)
\[\frac{7}{2},\,\sqrt{\frac{35}{12}}\] done
clear
B)
3, 3 done
clear
C)
\[\frac{7}{2},\,\sqrt{3}\] done
clear
D)
\[3,\,\frac{35}{12}\] done
clear
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question_answer25)
The standard deviation of 25 numbers is 40. If each of the numbers is increased by 5, then the new standard deviation will be [DCE 1995]
A)
40 done
clear
B)
45 done
clear
C)
\[40+\frac{21}{25}\] done
clear
D)
None of these done
clear
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question_answer26)
The S.D of 15 items is 6 and if each item is decreased or increased by 1, then standard deviation will be [Pb. CET 1994,98]
A)
5 done
clear
B)
7 done
clear
C)
91/15 done
clear
D)
6 done
clear
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question_answer27)
The quartile deviation for the following data is
x : | 2 | 3 | 4 | 5 | 6 |
f : | 3 | 4 | 8 | 4 | 1 |
[AMU 1988; Kurukshetra CEE 1999]
A)
0 done
clear
B)
\[\frac{1}{4}\] done
clear
C)
\[\frac{1}{2}\] done
clear
D)
1 done
clear
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question_answer28)
The sum of squares of deviations for 10 observations taken from mean 50 is 250. The co-efficient of variation is [DCE 1996]
A)
50% done
clear
B)
10% done
clear
C)
40% done
clear
D)
None of these done
clear
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question_answer29)
The means of five observations is 4 and their variance is 5.2. If three of these observations are 1, 2 and 6, then the other two are [AMU 1994]
A)
2 and 9 done
clear
B)
3 and 8 done
clear
C)
4 and 7 done
clear
D)
5 and 6 done
clear
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question_answer30)
Consider any set of observations \[{{x}_{1}},\,{{x}_{2}},\,.{{x}_{3}},.\,...,{{x}_{101}}\]; it being given that \[{{x}_{1}}<{{x}_{2}}<{{x}_{3}}<....<{{x}_{100}}<{{x}_{101}}\]; then the mean deviation of this set of observations about a point k is minimum when k equals [DCE 1997]
A)
\[{{x}_{1}}\] done
clear
B)
\[{{x}_{51}}\] done
clear
C)
\[\frac{{{x}_{1}}+{{x}_{2}}+...+{{x}_{101}}}{101}\] done
clear
D)
\[{{x}_{50}}\] done
clear
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question_answer31)
For (2n+1) observations \[{{x}_{1}},\,-{{x}_{1}}\], \[{{x}_{2}},\,-{{x}_{2}},\,.....{{x}_{n}},\,-{{x}_{n}}\] and 0 where x?s are all distinct. Let S.D. and M.D. denote the standard deviation and median respectively. Then which of the following is always true [Orissa JEE 2002]
A)
S.D. < M.D. done
clear
B)
S.D. > M.D. done
clear
C)
S.D. = M.D. done
clear
D)
Nothing can be said in general about the relationship of S.D. and M.D. done
clear
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question_answer32)
Suppose values taken by a variable x are such that \[a\le {{x}_{i}}\le b\], where \[{{x}_{i}}\] denotes the value of x in the ith case for i = 1, 2, n. Then [Kurukshetra CEE 1995, 2000]
A)
\[a\le \text{Var}(x)\le b\] done
clear
B)
\[{{a}^{2}}\le \text{Var}(x)\le {{b}^{2}}\] done
clear
C)
\[\frac{{{a}^{2}}}{4}\le \text{Var}(x)\] done
clear
D)
\[{{(b-a)}^{2}}\ge \text{Var}(x)\] done
clear
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question_answer33)
The variance of a, b and g is 9, then variance of 5a, 5b and 5g is [AMU 1998]
A)
45 done
clear
B)
9/5 done
clear
C)
5/9 done
clear
D)
225 done
clear
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question_answer34)
A batsman scores runs in 10 innings 38, 70, 48, 34, 42, 55, 63, 46, 54, 44, then the mean deviation is [Kerala Engg. 2002]
A)
8.6 done
clear
B)
6.4 done
clear
C)
10.6 done
clear
D)
9.6 done
clear
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question_answer35)
What is the standard deviation of the following series [DCE 1996]
Measurements | 0-10 | 10-20 | 20-30 | 30-40 |
Frequency | 1 | 3 | 4 | 2 |
A)
81 done
clear
B)
7.6 done
clear
C)
9 done
clear
D)
2.26 done
clear
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question_answer36)
In an experiment with 15 observations on x, the following results were available \[\sum {{x}^{2}}=2830\], \[\sum x=170\]. On observation that was 20 was found to be wrong and was replaced by the correct value 30. Then the corrected variance is [AIEEE 2003]
A)
78.00 done
clear
B)
188.66 done
clear
C)
177.33 done
clear
D)
8.33 done
clear
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question_answer37)
The quartile deviation of daily wages (in Rs.) of 7 persons given below 12, 7, 15, 10, 17, 19, 25 is [Pb. CET 1991, 96; Kurukshetra CEE 1997]
A)
14.5 done
clear
B)
5 done
clear
C)
9 done
clear
D)
4.5 done
clear
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question_answer38)
Karl-Pearson?s coefficient of skewness of a distribution is 0.32. Its S.D. is 6.5 and mean 39.6. Then the median of the distribution is given by [Kurukshetra CEE 1991]
A)
28.61 done
clear
B)
38.81 done
clear
C)
29.13 done
clear
D)
28.31 done
clear
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