Chapter 8: Q 8.1 (page 390)
Suppose that X is a random variable with mean and variance both equal to 20. What can be said about P{0 < X < 40}?
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Chapter 8: Q 8.1 (page 390)
Suppose that X is a random variable with mean and variance both equal to 20. What can be said about P{0 < X < 40}?
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Let be a continuous function defined for. Consider the functions
(called Bernstein polynomials) and prove that
.
Hint: Let be independent Bernoulli random variables with mean. Show that
and then use Theoretical Exercise.
Since it can be shown that the convergence of to is uniform, the preceding reasoning provides a probabilistic proof of the famous Weierstrass theorem of analysis, which states that any continuous function on a closed interval can be approximated arbitrarily closely by a polynomial.
Itis a Poisson random variable with a mean, thenis approximately
or
A certain component is critical to the operation of an electrical system and must be replaced immediately upon failure. If the mean lifetime of this type of component is 100 hours and its standard deviation is 30 hours, how many of these components must be in stock so that the probability that the system is in continual operation for the next 2000 hours is at least 0.95?
Show that ifandrole="math" localid="1649871241073" is such that, then.
From past experience, a professor knows that the test score taking her final examination is a random variable with a mean of.
Give an upper bound for the probability that a student’s test score will exceed.
Suppose, in addition, that the professor knows that the variance of a student’s test score is equal. What can be said about the probability that a student will score between and?
How many students would have to take the examination to ensure a probability of at least that the class average would be within of? Do not use the central limit theorem.
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