Let X1,..., X be an independent trials process with common expected value 2 and common variance 17. What is the exact value of the expected value of the average A? What is the variance of the average An? Your formula should have n. According to the Chebyshev inequality, P(An 20.2) ≤ (your formula should have n) Using your bound from the Chebyshev inequality, how many trials are needed so that P(An 2≥ 0.2) 0.91? (see the note below here) If you get an answer like n > 123.8, round it up to the next whole number: Your response: 124

A First Course in Probability (10th Edition)
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ISBN:9780134753119
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Chapter1: Combinatorial Analysis
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Let X1,..., X be an independent trials process with common expected value 2 and common variance 17.
What is the exact value of the expected value of the average A?
What is the variance of the average An? Your formula should have n.
According to the Chebyshev inequality,
P(An 20.2) ≤
(your formula should have n)
Using your bound from the Chebyshev inequality, how many trials are needed so that
P(An 2≥ 0.2) 0.91?
(see the note below here)
If you get an answer like
n > 123.8,
round it up to the next whole number:
Your response: 124
Transcribed Image Text:Let X1,..., X be an independent trials process with common expected value 2 and common variance 17. What is the exact value of the expected value of the average A? What is the variance of the average An? Your formula should have n. According to the Chebyshev inequality, P(An 20.2) ≤ (your formula should have n) Using your bound from the Chebyshev inequality, how many trials are needed so that P(An 2≥ 0.2) 0.91? (see the note below here) If you get an answer like n > 123.8, round it up to the next whole number: Your response: 124
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