Introduction to Probability · Problem 8.2.1

Central Limit Theorem — Grinstead & Snell

Mathematics — Probability · law-of-large-numbers-continuous

Problem

Let XX be a continuous random variable with mean μ=10\mu = 10 and variance σ2=100/3\sigma^2 = 100/3. Using Chebyshev's Inequality, find an upper bound for the following probabilities. (a) P(∣X−10∣≥2)P(|X - 10| \geq 2). (b) P(∣X−10∣≥5)P(|X - 10| \geq 5). (c) P(∣X−10∣≥9)P(|X - 10| \geq 9). (d) P(∣X−10∣≥20)P(|X - 10| \geq 20).

Related theory

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