CBSE Questions for Class 11 Commerce Economics Measures Of Dispersion Quiz 2 - MCQExams.com

__________ is the positive square root of the mean of squared deviations from mean. 
  • Mean Deviation
  • Standard Deviation
  • Quartile Deviation
  • None of the above
What is standard error of mean defined as?
  • Standard deviation of the sampling distribution of mean
  • Standard deviation of data
  • Inter quartile range of the data
  • None of these
If the coefficient of correlation between $$x,y$$ is $$0.7$$ and covariance is $$35$$ find the standard deviation of $$y$$ if the standard deviation of $$x$$ is $$5$$____.
  • $$10$$
  • $$9$$
  • $$8$$
  • $$11$$
The formula Of $$X^2$$ distribution is______________.
  • $${X^2} = \dfrac {{S}^{2}_{1}}{{S}^{2}_{2}}$$
  • $${X^2} = \dfrac {E}{{\Sigma}(O - E)^2}$$
  • $${X^2} = {\Sigma} \dfrac {E}{(E - O)^2}$$
  • $${X^2} = {\Sigma} \dfrac {(O - E)^2}{E}$$
Range =
  • Largest value - Smallest value
  • Largest value divided by 2
  • Both A and B
  • None of the above
The coefficient correlation between x and y is 0.8, the covariance beingIf the standard deviation of x is 4 find the standard deviation of y___.
  • 6.25
  • 10
  • 11.25
  • 9.10
If a population has a standard deviation of $$2.25$$, how large the sample should be to allow a maximum error of $$0.33$$ with $$95\%$$ confidence level?
  • $$252$$
  • $$201$$
  • $$220$$
  • $$178$$
If the coefficient of correlation between x,y is 0.8 and covariance is 32 find the standard deviation of X if the standard deviation of y is 4___.
  • 10
  • 9
  • 8
  • 11
If Quartile deviation of a data is $$8$$, find Mean deviation____.
  • $$9.0$$
  • $$9.6$$
  • $$9.90$$
  • $$10.10$$
The standard deviation of sample of 30 observations isIf the value of each item of the observation is increased byThe new standard deviation will be ______.
  • same as original
  • increased by 5
  • reduced by 5
  • reduced by 5 times.
If the size of the sample increases, the curve becomes___________.
  • continuous
  • severely skewed to one side
  • more symmetrical
  • intermittent
Find the mean and standard deviation of the following observations:
$$X = 2, 5, 7, 8, 13$$.
  • $$7$$ and $$3.63$$
  • $$3.63$$ and $$7$$
  • $$7.63$$ and $$3$$
  • $$3$$ and $$7.63$$
The geometric mean of $$3,7,11,15,24,28,30,0$$ is
  • $$6$$
  • $$0$$
  • $$8$$
  • $$9$$
A frequency distribution having two modes is said to be ________.
  • unimodal
  • bimodal
  • trimodal
  • without mode
Geometric mean of two observations can be calculated only if ________.
  • both the observations are positive
  • one of the two observations is zero
  • one of them is negative
  • both of them are zero
If the two observations are $$10$$ and $$0$$ then their geometric mean is ______.
  • $$10$$
  • $$0$$
  • $$5$$
  • $$8$$
Which of the measure of central tendency is not affected by extreme values?
  • Mode
  • Median
  • Sixth decile
  • All the above
Shoe size of most of the people in a city is $$No.7$$. Which measure of central value does it represent?
  • Mean
  • Median
  • Eighth decile
  • Mode
Find the variance of first $$10$$ multiples of $$3$$.
  • $$72.65$$
  • $$74.05$$
  • $$74.25$$
  • $$73.85$$
Standard Deviation of first n natural numbers.
  • $$\sqrt{\dfrac{n^2+1}{6}}$$
  • $$\sqrt{\dfrac{n^2-1}{12}}$$
  • $$\sqrt{\dfrac{n^2+1}{12}}$$
  • $$\sqrt{\dfrac{n^2-1}{6}}$$
Variance of first $$n$$ natural numbers.
  • $$\dfrac{n^2-1}{6}$$
  • $$\dfrac{n^2+1}{6}$$
  • $$\dfrac{n^2-1}{12}$$
  • $$\dfrac{n^2+1}{12}$$
Find the Standard Deviation of of first $$10$$ multiples of $$3$$.
  • $$8.61$$
  • $$8.33$$
  • $$9.09$$
  • $$9.69$$
If the coefficient of variation and standard deviation of a distribution are 50% and 20 respectively, then its mean is
  • 40
  • 30
  • 20
  • none of these
The variance of first n natural numbers is
  • $$\displaystyle \frac{n^2 + 1}{12}$$
  • $$\displaystyle \frac{n^2 - 1}{12}$$
  • $$\displaystyle \frac{n^2 - 1}{6}$$
  • $$\displaystyle \frac{n^2 + 1}{2}$$
The mean deviation about median from the data
$$340,150,210,240,300,310,320$$ is
  • $$50$$
  • $$52.8$$
  • $$55$$
  • $$45$$
Coefficient of deviation is calculated by the formula:
  • $$\cfrac { \bar { X } }{ \sigma } \times 100$$
  • $$\cfrac { \bar { X } }{ \sigma }$$
  • $$\cfrac { \sigma } {\bar { X }} \times 100$$
  • $$\cfrac{ \sigma } { \bar { X }}$$
When all the observations are same, the relation between A.M., G.M and H.M is _________.
  • A.M. = G.M. = H.M.
  • A.M. = G.M. > H.M.
  • A.M. > G.M. > H.M.
  • A.M. < G.M. < H.M.
The mean of distribution is $$22.2$$ and its mode is $$23.3$$. The median is _______.
  • $$26.5$$
  • $$22.6$$
  • $$28.5$$
  • $$26.6$$
Find the Standard Deviation of the following data:
$$5,9,8,12,6,10,6,8$$
  • $$2.14$$
  • $$2.16$$
  • $$2.15$$
  • $$2.17$$
Standard Error of Mean is defined as ________.
  • Standard deviation of the sampling distribution of mean
  • Average of sampling distribution of mean
  • Inter-Quartile range of sampling distribution of mean
  • Correlation co-efficient between the sampling distribution of mean and mean
0:0:1


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