J & K CET Engineering J and K - CET Engineering Solved Paper-2012

  • question_answer
    Let \[f(x)=\frac{k}{1+{{x}^{2}}},\,-\infty <x<\infty \]  be   the probability density of a random variable. Then, k equals to

    A)  \[\pi \]                  

    B)  \[-\pi \]

    C)  \[\frac{1}{\pi }\]

    D)  \[1\]

    Correct Answer: C

    Solution :

    \[\because \]   \[\int_{-\infty }^{\infty }{f(x)\,dx=1}\] \[\therefore \] \[\int_{-\infty }^{\infty }{\frac{k}{1+{{x}^{2}}}}\,dx=1\] \[\Rightarrow \] \[\int_{0}^{\infty }{\frac{k}{1+{{x}^{2}}}}\,\,dx=1\] \[\Rightarrow \] \[2\int_{0}^{\infty }{\frac{k}{1+{{x}^{2}}}}\,\,dx=1\] \[\Rightarrow \] \[2k\,({{\tan }^{-1}}x)_{0}^{\infty }=1\] \[\Rightarrow \] \[2k({{\tan }^{-1}}\infty -{{\tan }^{-1}}0)=1\] \[\Rightarrow \] \[2k\left( \frac{\pi }{2}-0 \right)=1\] \[\Rightarrow \] \[k=\frac{1}{\pi }\]


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