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Descriptive Statistics Test 50

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Descriptive Statistics Test 50
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Weekly Quiz Competition
  • Question 1
    1 / -0
    Choose the correct answer from the alternatives given.
    Directions for questions 71 to 75: Study the following bar-graph and answer the questions.
    The average electric consumption by the family during these 5 months in 2013 is

    Solution
    Average units consumption in the year 2013
    $$\displaystyle = \, \frac{550 \, + \, 500 \, + \, 400 \, + \, 350 \, + \, 500}{5} \, = \frac{2300}{5}$$ = $$460$$ units
  • Question 2
    1 / -0
    Choose the correct answer from the alternatives given.
    Directions for questions 71 to 75: Study the following bar-graph and answer the questions.
    For how many months in 2012, the consumption of electric units was more than the average units consumption?

    Solution
    Average units consumption in the year 2012
    $$\displaystyle \frac{600 \, + \, 700 \, + \, 400 \, + \, 300 \, + \, 200}{5} \, = \, \frac{2200}{5}$$ = 440 units
    Hence, required months are July and August. 
  • Question 3
    1 / -0
    If the sum of mean and variance of $$B.D$$ for $$5$$ trials is $$1.8$$, the binomial distribution is 
    Solution
    a binomial distribution is characterized by $$2$$ parameters:
    $$n$$ - number of trials
    $$p$$ - probability of success in one trail.
    We there by know n=5, we need to find $$p$$ .
    $$Mean$$ of the binomial distribution is given by,
    $$mean = np$$
    variance is given by 

    $$variance\quad =\quad np(1-p)\\ \therefore \quad mean\quad +\quad variance\quad =\quad 1.8\\ =>\quad 5p\quad +\quad 5p(1-p)\quad =\quad 1.8\\ =>\quad 5{ p }^{ 2 }-10p+1.8=0\\ =>\quad p=\quad 0.2\quad or\quad 1.8$$
    $$ =>\quad p=\quad 0.2\ [\because 1\ge p\ge 0]$$
    $$q=0.8$$
    Binomial distribution is $$(0.2+0.8)^n$$.
    Hence the answer is A 
  • Question 4
    1 / -0
    Variance of $$^{10}C_{0}, ^{10}C_{1}, ^{10}C_{2},^{10}C_{10}$$ is:
  • Question 5
    1 / -0
    What is standard deviation of the set of observations $$32,28,29,30,31$$?
    Solution
    $$\sigma =\displaystyle \sum _{ i=1 }^{ n }{ \sqrt { \dfrac { \left( { x }_{ i }-{ x }_{ av } \right)  }{ m-1 }  }  } $$
    $${ x }_{ au }=\dfrac { 32+28+29+30+31 }{ 5 } =30$$
    $$\therefore =\sqrt { \dfrac { { \left( 32-30 \right)  }^{ 2 }+{ \left( 28-30 \right)  }^{ 2 }+{ \left( 29-30 \right)  }^{ 2 }+{ \left( 30-30 \right)  }^{ 2 }+{ \left( 31-30 \right)  }^{ 2 } }{ 5-1 }  } $$
    $$=\sqrt { \dfrac { 4+4+1+1 }{ 4 }  } =\sqrt { \dfrac { 10 }{ 4 }  } =\sqrt { \dfrac { 10 }{ 2 }  } =1.58$$
  • Question 6
    1 / -0

    Directions For Questions

    Percentage of steel by different companies in three consecutive years(in lakh tones)

    ...view full instructions

    Study the following graph carefully and answer the question given.
    Which of the following companies recorded the minimum percentage growth from $$1994$$ to $$1995$$?

    Solution
    order of company growth from $$1994$$ to $$1995$$ is
    $$E<A<B<C<F<D$$
  • Question 7
    1 / -0
    Standard deviation of $$3, 5, 7, 9, 11, 13$$ is?
  • Question 8
    1 / -0
    The variance of first $$20$$- natural numbers is?
    Solution
    $$Var[X]=E[X^{2}]-(E[X])^{2}=\cfrac{1}{20}[(1^{2}+2^{2}+.....+20^{2})]-(E[X])^{2}$$
    Now, $$E[X]=\sum_{i=1}^{20}P_{i}X_{i}=\cfrac{1}{20}(1+2+3+...+20)=10.5$$
    $$(P_{1}=P_{2}=P_{3}=.......P_{20}=\cfrac{1}{20})$$
    $$\therefore  Var[X]=\cfrac{1}{20}[(1^{2}+2^{2}+3^{2}+....+20^{2})]-10.5^{2}=\cfrac{1}{20}\times 2870-110.25$$
    $$=143.5-110.25=33.25=\cfrac{133}{4}$$

  • Question 9
    1 / -0
    Variance of the data given below
    Size of item3.54.55.56.57.58.59.5
    Frequency37226085328
    Solution

  • Question 10
    1 / -0
    Standard deviation of the first $$2$$n + $$1$$ natural numbers is 
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