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Statistics Test - 46

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Statistics Test - 46
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  • Question 1
    1 / -0
    Mean of variable series $$\bar{x} = 773$$ and mean deviation 64.4 , then coefficient of mean deviation is 
    Solution
    $$\dfrac{Mean deviation}{Mean} = \dfrac{64.4}{773} = 0.083 $$
    Thus (C) is correct 
  • Question 2
    1 / -0
    Algebraic sum of deviation from mean is : 
    Solution
    (C) is correct
  • Question 3
    1 / -0
    To  find mean from grouped data on the formula $$ \bar{x} = a + \frac{\sum f_{i}d_{i}}{ \sum f_{i}} d_{i}, $$ is deviation of following from a.
    Solution

  • Question 4
    1 / -0
    Number of students in a school according to their age are as follows :
    Age (in yrs.)No. of students
    815
    925
    1040
    1136
    1241
    1337
    1420
    1513
    165
    173
    Their mode is
    Solution
    From above table it is clear that frequency 41 is maximum and its mavimum and its corresponding age group of 12 . So its mode will be 12.
    Thus (B) is correct.
  • Question 5
    1 / -0
    The mode of the data$$4, 3, 4, 5, 4, 2, 4, 1$$ will be :
    Solution
    Arranging the numbers with the same values together, we get
    $$1,2,3,4,4,4,4,5$$
    Mode of this data is $$4$$ because it occurs more frequently than other observations.
  • Question 6
    1 / -0
    The exam scores of all $$500$$ students were recorded and it was determined that these scores were normally distributed. If Jane's score is $$0.8$$ standard deviation above the mean, then how many, to the nearest unit, students scored above Jane?(Area under the curve  below $$z=0.8 \ is \ 0.7881$$)
    Solution
    Let the Jane's score be $$x$$.

    Let $$m$$ be the mean and $$s$$ be the standard deviation and then we find the $$z$$ score.

    Since it is given that Jane's score is $$0.8$$ standard deviation above the mean means $$x=0.8s+m$$
     
    $$z=\dfrac { x-m }{ s } =\dfrac { 0.8s+m-m }{ s } =0.8\\$$
    $$\Rightarrow z=0.8$$

    The percentage of students who scored above Jane is (from table of normal distribution) is

    $$1-0.7881=0.2119=21.19$$ $$\%$$

    The number of students who scored above Jane is (from table of normal distribution) is

    $$\dfrac { 21.9 }{ 100 } \times 500=106$$

    Hence, $$106$$ students scored above Jane.
  • Question 7
    1 / -0
    Find the variance of the series 5, 8, 11, 14 and 17.....
    Solution
    Given series is $$ 5, 8, 11, 14, 17$$
    Mean$$=\cfrac { 5+8+11+14+17 }{ 5 } =\cfrac { 55 }{ 5 } $$
    Mean$$=\mu=11$$
    Variance$$=\sum { { { \left( { x }_{ i }-\mu  \right)  }^{ 2 } }/{ n } } $$
    $$=\cfrac { 1 }{ 5 } \left[ \left( 5-11 \right) ^{ 2 }+{ \left( 8-11 \right)  }^{ 2 }+{ \left( 11-11 \right)  }^{ 2 }+{ \left( 14-11 \right)  }^{ 2 }+{ \left( 17-11 \right)  }^{ 2 } \right] $$
    $$=\cfrac { 1 }{ 5 } \left[ 36+9+0+9+36 \right] $$
    $$=\cfrac { 90 }{ 5 } $$
    $$=18$$
  • Question 8
    1 / -0
    The sum of the squares of deviations of 10 items about mean 50 is 250 .The coefficient of variation is 
    Solution

    $$\textbf{Step -1: Find the standard deviation.}$$
                    $$\text{It is given, }$$
                    $$\text{Mean, }\overline{x}=50,$$
                    $$n=10\text{ and }$$
                    $$\sum(x-\overline{x})^2=250$$
                    $$\therefore\text{Standard deviation}=\sqrt{\dfrac{\sum(x-\overline{x})^2}{n}}$$
                    $$=\sqrt{\dfrac{250}{10}}$$
                    $$=5$$
    $$\textbf{Step -2: Find the coefficient of variance.}$$
                    $$\text{Coefficient of variation}=\dfrac{\text{Standard deviation}}{\text{Mean}}\times100\%.$$
                    $$=\dfrac{5}{50}\times100\%$$
                    $$=10\%$$
    $$\textbf{Hence, option A is correct.}$$
  • Question 9
    1 / -0
    The probability distribution of a random variable $$X$$ is given below:
    $$X=x$$0123
    $$P(X=x)$$$$\frac{1}{10}$$$$\frac{2}{10}$$$$\frac{3}{10}$$$$\frac{4}{10}$$
    Then the variance of $$X$$ is
    Solution
    $$E[x^2]=0+1^2\cdot \displaystyle \frac{2}{10}+2^2\cdot \frac{3}{10}+3^2\cdot \frac{4}{10}=\frac{[2+12+36]}{10}=5.0$$
    $$E[x]=0+\displaystyle \frac{2}{10}+2\cdot \frac{3}{10}+3\cdot \frac{4}{10}=\frac{[2+6+12]}{10}=2$$
    $$\therefore$$ Var (x) $$= E[x^2] - E[x]^2 = 5-2^2=1$$
  • Question 10
    1 / -0
    The greatest value of a collection of data is $$72$$ and the least value is $$28$$. Then the coefficient of range is.
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