Let X be a random variable with the following CDF: 글 + 1 (1-e-") 글+ 글(1- e-t) x >1 Fx(x) = 0 0.5), both using the CDF and using the PDF. %3D

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A: If x is consistent for µ if   E(X) = µ V(x) tends to 0.

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A: Chebyshev's inequality has used to find the probability.

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A: P(Y≥y)≤12πσ2exp-y-μ2/2σ2 for all yℂℝ because it is also a part of normal distribution.

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A: It is an important part of statistics. It is widely used.

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A: Please see the handwritten solution.

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