Chapter 5: Problem 25
Each item produced by a certain manufacturer is, independently, of acceptable quality with probability.95. Approximate the probability that at most 10 of the next 150 items produced are unacceptable.
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Chapter 5: Problem 25
Each item produced by a certain manufacturer is, independently, of acceptable quality with probability.95. Approximate the probability that at most 10 of the next 150 items produced are unacceptable.
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For some constant \(c\), the random variable \(X\) has probability density
function
$$
f(x)= \begin{cases}c x^{4} & 0
You arrive at a bus stop at 10 o'clock, knowing that the bus will arrive at some time uniformly distributed between 10 and \(10: 30\). (a) What is the probability that you will have to wait longer than 10 minutes? (b) If at 10:15 the bus has not yet arrived, what is the probability that you will have to wait at least an additional 10 minutes?
Let \(f(x)\) denote the probability density function of a normal random variable with mean \(\mu\) and variance \(\sigma^{2}\). Show that \(\mu-\sigma\) and \(\mu+\sigma\) are points of inflection of this function. That is, show that \(f^{\prime \prime}(x)=0\) when \(x=\mu-\sigma\) or \(x=\mu+\sigma\).
(a) A fire station is to be located along a road of length \(A, A<\infty\). If fires will occur at points uniformly chosen on \((0, A)\), where should the station be located so as to minimize the expected distance from the fire? That is, choose \(a\) so as to minimize \(E[|X-a| \mathrm{I}\) when \(X\) is uniformly distributed over \((0, A)\). (b) Now suppose that the road is of infinite length-stretching from point 0 outward to \(\infty\). If the distance of a fire from point 0 is exponentially distributed with rate \(\lambda\), where should the fire station now be located? That is, we want to minimize \(E[|X-a|]\) where \(X\) is now exponential with rate \(\lambda\).
In 10,000 independent tosses of a coin, the coin landed heads 5800 times. Is it reasonable to assume that the coin is not fair? Explain.
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