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Descriptive Statistics Test 18

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Descriptive Statistics Test 18
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Weekly Quiz Competition
  • Question 1
    1 / -0
    Which of the following statements is untrue for tabulation?
  • Question 2
    1 / -0
    Consider the following statements:
    I. In a bar graph not only height but also width of each rectangle matters.
    II. In a bar graph height of each rectangle matters and not its width
    III. In a histogram the height as well as the width of each rectangle matters
    IV. A bar graph is two dimensional
    Of these statements:
  • Question 3
    1 / -0
    The mean and standard deviation of a random variable $$x$$ is given by $$5$$ and $$3$$ respectively. The standard deviation of $$2-3x$$ is _____
    Solution
    $$\sigma(2-3x)=\sigma(-3x)=|-3|\sigma(x)=3\times 3=9$$
  • Question 4
    1 / -0
    Maximum number of teachers are in between which age group?

    Solution
    $$\Rightarrow$$  From given histogram we are going to form frequency distribution table:

    $$Ages$$
    $$(Years)$$ 
    $$No.\,of\,teachers$$ 
     $$20-25$$$$4$$ 
     $$25-30$$$$5$$ 
     $$30-35$$$$6$$ 
     $$35-40$$$$3$$ 
     $$40-45$$$$2$$ 
     $$45-50$$$$5$$ 
    $$\Rightarrow$$  From above table we can see, the maximum number of teachers are between age group $$30-35$$ which is $$6$$
  • Question 5
    1 / -0
    If $$\sum\limits_{i = 1}^{18} {({x_i} - 8) = 9} $$ and $$\sum\limits_{i = 1}^{18} {{{({x_i} - 8)}^2} = 45} $$, then standard deviation of $${x_1},{x_2},...,{x_{18}}$$ is
    Solution

    Given: $$\displaystyle\sum\limits_{i = 1}^{18} {\left( {x_i - 8} \right) = 9} $$

    $$\displaystyle\sum\limits_{i = 1}^{18} {{{\left( {x_i - 8} \right)}^2} = 45} $$

    Let $$X$$ be a random variable taking values $${x_1},........{x_{18.}}$$

    Then $$X-8$$ has the values $${x_1} - 8,....,{x_{18}} - 8.$$

    Now, $$E\left( {X - 8} \right) =\displaystyle {{\displaystyle\sum\limits_{i = 1}^{18} {\left( {x_i - 8} \right)} } \over {18}}$$

    $$ = \displaystyle{9 \over {18}} = {1 \over 2}$$

    And $$E\left[ {{{\left( {X - 8} \right)}^2}} \right] = \displaystyle{{\sum\limits_{i = 1}^{18} {{{\left( {x_i - 8} \right)}^2}} } \over {18}}$$

    $$ =\displaystyle {{45} \over {18}} = {5 \over 2}$$

    Thus, $$Var\left( {X - 8} \right) = E\left[ {{{\left( {X - 8} \right)}^2}} \right] - \left[ {E{{\left( {X - 8} \right)}}} \right]^2$$

    $$ =\displaystyle {5 \over 2} - {\left( {{1 \over 2}} \right)^2}$$

    $$ = \displaystyle{5 \over 2} - {1 \over 4}$$

    $$ = \displaystyle{9 \over 4}$$

    We know $$Var\left( {1.X - 8} \right) = {1^2}Var\left( X \right)$$, thus,

    $$Var\left( X \right) = \displaystyle{9 \over 4}$$

    Standard deviation of $$X = \sqrt {Var\left( X \right)} $$

    $$ = \displaystyle\sqrt {{9 \over 4}}  = {3 \over 2}$$

  • Question 6
    1 / -0
    Solve:
    $$\log_5 \dfrac{(25)^4}{\sqrt{625}}$$
    Solution
    We have,
    $$\log_5 \dfrac{(25)^4}{\sqrt{625}}$$

    $$\Rightarrow \log_5 \dfrac{(25)^4}{(25)}$$

    $$\Rightarrow \log_5 (25)^3$$

    $$\Rightarrow \log_5 5^6$$

    $$\Rightarrow 6\log_5 5$$                  $$\therefore \log m^n=n\log m$$

    $$\Rightarrow 6\times 1$$                     $$\therefore \log_a a=1$$

    $$\Rightarrow 6$$

    Hence, this is the answer.
  • Question 7
    1 / -0
    Coefficient of skewnwss for the value $$Median = 18.8,{Q_1} = 14.6,{Q_3} = 25.2$$ is
    Solution
    $$\Rightarrow$$  Given data : $$M_d=18.8,Q_1=14.6,Q_3=25.2$$
    The coefficient of skewness based on quartile is known as Bowley's coefficient of skewness is given by
    $$S_k(B)=\dfrac{Q_3+Q_1-2M_d}{Q_3-Q_1}$$

                $$=\dfrac{25.2+14.6-(2\times 18.8)}{25.2-14.6}$$

                $$=\dfrac{39.8-37.6}{10.6}$$

                $$=\dfrac{2.2}{10.6}$$

                $$=0.2$$
  • Question 8
    1 / -0
    The variance of the data $$6,\ 8,\ 10,\ 12,\ 14,\ 16,\ 18,\ 20,\ 22,\ 24$$ is
    Solution
    $$\overline{x}=\dfrac{6+8+10+12+14+16+18+20+22+24}{10}=\dfrac{150}{10}=15$$
    $$Variance=\dfrac{\sum(x-\overline{x})^2}{10}$$

    $$=\dfrac{(6-15)^2+(8-15)^2+(10-15)^2+(12-15)^2+(14-15)^2+(16-15)^2+(18-15)^2+(20-15)^2+(22-15)^2+(24-15)^2}{10}$$

    $$=\dfrac{(-9)^2+(-7)^2+(-5)^2+(-3)^2+(-1)^2+(1)^2+(3)^2+(5)^2+(7)^2+(9)^2}{10}$$

    $$=\dfrac{81+49+25+9+1+1+9+25+49+81}{10}$$

    $$=\dfrac{330}{10}$$
    $$=33$$

    $$\therefore$$  Variance $$=33$$
  • Question 9
    1 / -0
    Use the graph to answer the question.How many students have more than 100 rupees? 

    Solution
    From the graph
    Number of students have more than 100 rupees $$=4+3+1=8$$
  • Question 10
    1 / -0
    If $$V$$ is the variance and $$M$$ is the mean of first $$15$$ natural numbers, then what is $$V+M^2$$ equal to ?
    Solution
    first 15 natural numbers

    $$1,2,3,4,5,6,7,8,9,10,11,12,13,14,15$$

    $$N=5$$

    mean,

    $$\mu =\dfrac{1}{N}\sum_{i=1}^{N}x_i$$

    $$\mu =\dfrac{1}{15}(1+2+3+4+5+6+7+8+9+10+11+12+13+14+15)$$

    $$=\dfrac{120}{5}=8$$

    variance,

    $$\sigma ^2=\dfrac{1}{N}\sum_{i=1}^{N}(x_i-\mu )^2$$

    $$=\dfrac{1}{15}\sum_{i=1}^{15}(x_i-8 )^2$$

    $$=\dfrac{1}{15}(280)$$

    Given,

    $$V+M^2$$

    $$=\dfrac{280}{15}+8^2$$

    $$=\dfrac{1240}{15}$$

    $$=\dfrac{248}{3}$$

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