JEE Main & Advanced JEE Main Paper (Held On 09-Jan-2019 Evening)

  • question_answer
    A data consists of n observations: \[{{x}_{1}},\,\,{{x}_{2}},\,\,\,....,\,\,{{x}_{n}},\]. If \[\sum\limits_{i\,=\,1}^{n}{{{({{x}_{i}}+1)}^{2}}\,\,=\,\,9n}\] and \[\sum\limits_{i\,=\,1}^{n}{{{({{x}_{i}}-1)}^{2}}=5n}\]then the standard deviation of this data is: [JEE Main Online Paper (Held On 09-Jan-2019 Evening]

    A) 2                                             

    B)               4

    C)               3                                             

    D)               1

    Correct Answer: B

    Solution :

    \[\sum\limits_{i=1}^{n}{{{({{x}_{i}}+1)}^{2}}\,\,=\,\,9n\,\,\Rightarrow \,\,\sum\limits_{i\,=\,1}^{n}{{{x}^{2}}_{i}+2\,\sum\limits_{i=1}^{n}{{{x}_{i}}+n}}}\] = 9                                           ?. (1) \[\sum\limits_{i=1}^{n}{{{({{x}_{i}}-1)}^{2}}=5n\Rightarrow \sum\limits_{i\,=\,1}^{n}{{{x}^{2}}_{i}-2\,\sum\limits_{i=1}^{n}{{{x}_{i}}+n}}}\] = 5n                                         ...(2) Eq. (1) + (2) \[\Rightarrow \,\,\,2\sum\limits_{i=1}^{n}{{{x}_{i}}^{2}\,+\,2\,n\,\,=\,\,14\,n}\] Eq. (1) \[-\] (2) \[\Rightarrow \,\,\,4\sum\limits_{i=1}^{n}{{{x}_{i}}\,=\,\,4\,n}\] \[\Rightarrow \,\,\,\sum\limits_{i=1}^{n}{{{x}_{i}}\,=\,\,n}\] \[S.D.\,\,\,\sigma \,\,=\,\,\frac{\sum{{{x}_{i}}^{2}}}{n}\,-\,{{(\overline{x})}^{2}}\] \[\sigma \,\,=\,\,\sqrt{\frac{6\,n}{n}\,-\,(1)}\] \[\sigma \,\,=\,\,\sqrt{5}\]


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