Let X be a binomial distribution with parameters n and p, and k a number such that $p < k < 1$. 1. Find an upper bound for $P(X ge kn)$ using Markov's inequality. 2. Find an upper bound for $P(X ge kn)$ using Chebyshev's inequality. 3. Let $p = frac{1}{2}$ and $k = frac{3}{4}$. Which inequality gives the tighter bound?
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Step 1: Using Markov's inequality, we found that \( P(X > kn) < \frac{P}{k} \) where \( P = 2 \) and \( k = \frac{3}{4} \). Show more…
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