J & K CET Engineering J and K - CET Engineering Solved Paper-2006

  • question_answer
    It \[\sigma \] is the standard deviation of a random variable X, then the standard deviation of the random variable \[aX+b,\]where \[a,\text{ }b\in R\]is

    A)  \[a\sigma +b\]        

    B)  \[|a|\sigma \]

    C)  \[|a|\sigma +b\]

    D)  \[{{a}^{2}}\sigma \]

    Correct Answer: B

    Solution :

    Let \[{{x}_{1}},{{x}_{2}},.........,{{x}_{n}}\] be n values of x. Then \[{{\sigma }^{2}}=\frac{1}{n}\sum\limits_{i=1}^{n}{({{x}_{i}}-\bar{x}}{{)}^{2}}\] ??(i) The variable \[ax+b\] takes values \[a{{x}_{1}}+b,\] \[a{{x}_{2}}+b,.....,a{{x}_{n}}+b\]with mean \[a\overline{x}+b.\] \[\therefore \] \[Var(ax+b)=\frac{1}{n}\sum\limits_{i=1}^{n}{{{\{(a{{x}_{i}}-b)-(a\bar{x}+b)\}}^{2}}}\] \[=\frac{{{a}^{2}}}{n}\sum\limits_{i=1}^{n}{({{x}_{i}}-\overline{x}}{{)}^{2}}\] \[\Rightarrow \]   SD of \[(ax+b)=\sqrt{{{a}^{2}}.\frac{1}{n}\sum\limits_{i=1}^{n}{{{({{x}_{i}}-\overline{x})}^{2}}}}\] \[=|a|\sigma \]


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