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Descriptive Statistics Test 44

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Descriptive Statistics Test 44
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  • Question 1
    1 / -0
    Let $$\sigma^{2}$$ is variance of following frequency distribution 
    $$x_{1}$$$$1$$$$2$$$$3$$$$4$$$$5$$$$6$$$$7$$$$8$$$$9$$
    $$f_{1}$$$$1$$$$0$$$$1$$$$7$$$$9$$$$4$$$$1$$$$1$$$$1$$
    then $$\sigma^{2}$$ is equal to
  • Question 2
    1 / -0
    The mean and variance of a random variable having a binomial distribution are $$4$$ and $$2$$ respectively , then $$P(X=1)$$ is 
    Solution

  • Question 3
    1 / -0
    Let $$x_i$$ represents the outcome on a fair die and $$f_i$$ be the corresponding frequency. The variance for random variable $$x_i$$ with following frequency distribution, is
    $$x_i$$123456
    $$f_i$$123456
  • Question 4
    1 / -0
    The mean and the standard devition (s.d) of five observations are $$9$$ and $$0$$, respecively. If one of the observations is changed such that the mean of the new set of five obervatons becomes $$10$$, then their s. d. is:
    Solution

    Since the standard deviation before the change was $$0$$, all the observation was the mean, or $$9$$. Since one observation was changed and the new mean is $$10$$, we have the following equation.

     

    $$ \dfrac{9+9+9+9+x}{5}=10 $$

    $$ \Rightarrow \dfrac{36+x}{5}=10 $$

    $$ \Rightarrow 36+x=50 $$

    $$ \Rightarrow x=14 $$

    The changed observation is$$14$$ .

    All the observations are$$\left\{ 9,9,9,9,14 \right\}$$

     

    Since the mean is $$10$$,

    The variance is

    $$ \dfrac{\left[ {{\left( 9-10 \right)}^{2}}+{{\left( 9-10 \right)}^{2}}+{{\left( 9-10 \right)}^{2}}+{{\left( 9-10 \right)}^{2}}{{\left( 14-10 \right)}^{2}} \right]}{5} $$

    $$ \Rightarrow \dfrac{\left( 1+1+1+1+16 \right)}{5} $$

    $$ \Rightarrow 4 $$

     

    Hence, the standard deviation is $$\sqrt{4}=2$$

  • Question 5
    1 / -0
    Let $$x_{1},\ x_{2},...x_{100}$$ are $$100$$ above observation such that $$\displaystyle \sum { { x }_{ 1 }=0 } ,\ \displaystyle \sum _{ 1\le i<j\le 100 }^{  }{ \left| { x }_{ i }{ x }_{ j } \right| =80000 } $$ & mean deviation from their mean is $$5$$, then their standard deviation, is- 
  • Question 6
    1 / -0
    For the observations $${ x }_{ 1, }{ x }_{ 2 },{ x }_{ 3 },........{ x }_{ 18, }$$ it is given that $$\sum _{i =1 }^{ 18 }{ ({ x }_{ i }-8)=9 } $$ and $$\sum _{  j=1}^{ 18 }{ { ({ x }_{ j}-8) }^{ 2 }=45 } $$ then the standard deviation of these eighteen observations is 
    Solution

  • Question 7
    1 / -0
    Two distributions each of $$5$$ observations having veriance $$4$$ and $$5$$. If their arithmetic mean are $$2$$ and $$4$$ respectively., Find the variance of combined distribution 
    Solution

  • Question 8
    1 / -0
    If the sum and sum of squares of $$10$$ observations are $$12$$ and $$18$$ resp., then, The $$S.D$$ of observations is :-
    Solution
    $$\sum x=12,\sum x^2=18,N=10$$
    $$SD=\sqrt{\cfrac{\sum x^2}{N}-(\cfrac{\sum x}{N})^2}$$
    $$\implies SD=\sqrt{\cfrac{18}{10}-(\cfrac{12}{10})^2}=\cfrac{3}{5}$$
  • Question 9
    1 / -0
    The variance of the elements of the row which contains  $$2019$$  is  $$K$$  then the value of  $$3 K$$  is
  • Question 10
    1 / -0
    The variance of first $$30$$ natural numbers, is
    Solution
    We know that the variance of first $$n$$ natural number is
    $$= \cfrac { { { n^{ 2 } }-1 } }{ { 12 } } $$

    Put $$ n=30$$

    Therefore,
    $$ \\ \cfrac { { 900-1 } }{ { 12 } } =\cfrac { { 899 } }{ { 12 } }  \\ =74.916 \\ =74.92$$

    Hence, this is the answer.
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