Chapter 2: Problem 33
Let \(X\) be a random variable with probability density
$$
f(x)=\left\\{\begin{array}{ll}
c\left(1-x^{2}\right), & -1
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Chapter 2: Problem 33
Let \(X\) be a random variable with probability density
$$
f(x)=\left\\{\begin{array}{ll}
c\left(1-x^{2}\right), & -1
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An individual claims to have extrasensory perception (ESP). As a test, a fair coin is flipped ten times, and he is asked to predict in advance the outcome. Our individual gets seven out of ten correct. What is the probability he would have done at least this well if he had no ESP? (Explain why the relevant probability is \(P\\{X \geqslant 7\\}\) and not \(P\\{X=7\\} .)\)
A ball is drawn from an urn containing three white and three black balls. After the ball is drawn, it is then replaced and another ball is drawn. This goes on indefinitely. What is the probability that of the first four balls drawn, exactly two are white?
If \(X\) is normally distributed with mean 1 and variance 4 , use the tables to
find \(P\\{2
Prove that \(E\left[X^{2}\right] \geqslant(E[X])^{2}\). When do we have equality?
Calculate the moment generating function of the uniform distribution on \((0,1) .\) Obtain \(E[X]\) and \(\operatorname{Var}[X]\) by differentiating.
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