JEE Main & Advanced JEE Main Online Paper (Held On 08 April 2018)

  • question_answer
    If \[\sum\limits_{i=1}^{9}{({{x}_{i}}-5)=9}\] and \[\sum\limits_{i=1}^{9}{{{({{x}_{i}}-5)}^{2}}=45},\]then the standard deviation of the 9 items \[{{x}_{1}},{{x}_{2}},.....,{{x}_{9}}\] is: [JEE Main Online 08-04-2018]

    A)  2                                

    B)  3

    C)  9                                

    D)  4

    Correct Answer: A

    Solution :

    Given \[\sum\limits_{i=1}^{9}{({{x}_{i}}-5)=9}\]and \[\sum\limits_{i=1}^{9}{{{({{x}_{i}}-5)}^{2}}=45}\] Variance \[{{\sigma }^{2}}=\frac{1}{x}\sum\limits_{{}}^{{}}{{{({{x}_{i}}-5)}^{2}}-{{\left[ \frac{1}{x}\sum\limits_{{}}^{{}}{({{x}_{i}}-5)} \right]}^{2}}}\]                 \[=\frac{1}{9}\times 45-{{\left[ \frac{9}{9} \right]}^{2}}\]                 \[n=9\] \[{{\sigma }^{2}}=5-1=4\] Standard Derivation \[=\sqrt{4}=2\]


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