Chapter 4: Q.4.9 (page 173)
If is a binomial random variable with expected value and variance, find
Chapter 4: Q.4.9 (page 173)
If is a binomial random variable with expected value and variance, find
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Get started for freeIf X has distribution function F, what is the distribution function of ?
A box contains red and blue marbles. Two marbles are withdrawn randomly. If they are the same color, then you win ; if they are different colors, then you win . (That is, you lose .) Calculate
(a) the expected value of the amount you win;
(b) the variance of the amount you win.
Let be a negative binomial random variable with parameters and , and let be a binomial random variable with parameters and . Show that
Hint: Either one could attempt an analytical proof of the preceding equation, which is equivalent to proving the identity
or one could attempt a proof that uses the probabilistic interpretation of these random variables. That is, in the latter case, start by considering a sequence of independent trials having a common probability p of success. Then try to express the events to express the events and in terms of the outcomes of this sequence.
Each of 500 soldiers in an army company independently has a certain disease with probability 1/103. This disease will show up in a blood test, and to facilitate matters, blood samples from all 500 soldiers are pooled and tested.
(a) What is the (approximate) probability that the blood test will be positive (that is, at least one person has the disease)? Suppose now that the blood test yields a positive result.
(b) What is the probability, under this circumstance, that more than one person has the disease? Now, suppose one of the 500 people is Jones, who knows that he has the disease.
(c) What does Jones think is the probability that more than one person has the disease? Because the pooled test was positive, the authorities have decided to test each individual separately. The first i − 1 of these tests were negative, and the ith one—which was on Jones—was positive.
(d) Given the preceding scenario, what is the probability, as a function of i, that any of the remaining people have the disease?
People enter a gambling casino at a rate ofevery minutes.
What is the probability that no one enters between and ?
What is the probability that at leastpeople enter the casino during that time?
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