The random variable X has mean µ and standard deviation σ. Use Chebyshev's inequality to obtain the upper bound on the following inequality: P (|X-µ|≥ 2σ) ≤? Now suppose that X is distributed Normal. Calculate the exact value of: P (|X-µ|≥2σ) =

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The random variable X has mean µ and standard deviation σ. Use Chebyshev's inequality to obtain the upper bound on the following inequality:
P (|X-µ|≥ 2σ) ≤?
Now suppose that X is distributed Normal. Calculate the exact value of:
P (|X-µ|≥2σ) =
You can use a Normal table or Excel functions.

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