Chebyshev's Inequality in Probability
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Chebyshev's Inequality in Probability
Chebyshev's inequality states that for any distribution, a certain amount of data must be within a stated number of standard deviations from the mean.
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Chebyshev Inequality Explained
Chebyshevs Theorem Calculator
Chebyshevs Theorem Calculator
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The Chebyshev Inequality | Introduction to Probability | Electrical Engineering and Computer Science | MIT OpenCourseWare
The Chebyshev Inequality | Introduction to Probability | Electrical Engineering and Computer Science | MIT OpenCourseWare
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We saw that if we want to have a probability of at least 95% that the poll results are within 1 percentage point of the truth, Chebyshev's inequality recommends a sample size of n=50,000 . This is very large compared to what is done in practice. Newspaper polls use smaller sample sizes for various reasons. For each of the following, decide whether it is a valid reason. In the real world, a) the accuracy requirements are looser.b) the Chebyshev bound is too conservative. c) the people sampled are
We saw that if we want to have a probability of at least 95% that the poll results are within 1 percentage point of the truth, Chebyshev's inequality recommends a sample size of n=50,000 . This is very large compared to what is done in practice. Newspaper polls use smaller sample sizes for various reasons. For each of the following, decide whether it is a valid reason. In the real world, a) the accuracy requirements are looser.b) the Chebyshev bound is too conservative. c) the people sampled are
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The Chebyshev Inequality | Introduction to Probability | Electrical Engineering and Computer Science | MIT OpenCourseWare
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We saw that if we want to have a probability of at least 95% that the poll results are within 1 percentage point of the truth, Chebyshev's inequality recommends a sample size of n=50,000 . This is very large compared to what is done in practice. Newspaper polls use smaller sample sizes for various reasons. For each of the following, decide whether it is a valid reason. In the real world, a) the accuracy requirements are looser.b) the Chebyshev bound is too conservative. c) the people sampled are
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