Chapter 11: Problem 118
College Graduates From the 2010 US Census, we learn that \(27.5 \%\) of US adults have graduated from college. If we take a random sample of 12 US adults, what is the probability that exactly 6 of them are college graduates?
Chapter 11: Problem 118
College Graduates From the 2010 US Census, we learn that \(27.5 \%\) of US adults have graduated from college. If we take a random sample of 12 US adults, what is the probability that exactly 6 of them are college graduates?
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Get started for freeUse the information that, for events \(\mathrm{A}\) and \(\mathrm{B},\) we have \(P(A)=0.4, P(B)=0.3,\) and \(P(A\) and \(B)=0.1.\) Find \(P(B\) if \(A).\)
Find endpoint(s) on the given normal density curve with the given property. \(\mathbf{P . 1 4 8}(\) a) The area to the left of the endpoint on a \(N(5,2)\) curve is about 0.10 (b) The area to the right of the endpoint on a \(N(500,25)\) curve is about 0.05
In Exercises \(\mathrm{P} .112\) to \(\mathrm{P} .115,\) calculate the mean and standard deviation of the binomial random variable. A binomial random variable with } n=10 \text { and }\\\ &p=0.8 \end{aligned} $$
Getting to the Finish In a certain board game participants roll a standard six-sided die and need to hit a particular value to get to the finish line exactly. For example, if Carol is three spots from the finish, only a roll of 3 will let her win; anything else and she must wait another turn to roll again. The chance of getting the number she wants on any roll is \(p=1 / 6\) and the rolls are independent of each other. We let a random variable \(X\) count the number of turns until a player gets the number needed to win. The possible values of \(X\) are \(1,2,3, \ldots\) and the probability function for any particular count is given by the formula $$ P(X=k)=p(1-p)^{k-1} $$ (a) Find the probability a player finishes on the third turn. (b) Find the probability a player takes more than three turns to finish.
In Exercises \(\mathrm{P} .112\) to \(\mathrm{P} .115,\) calculate the mean and standard deviation of the binomial random variable. A binomial random variable with } n=30 \text { and }\\\ &p=0.5 \end{aligned} $$
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