Chapter 4: Q.4.9 (page 163)
Repeat Example when the balls are selected with replacement.
/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none}
Learning Materials
Features
Discover
Chapter 4: Q.4.9 (page 163)
Repeat Example when the balls are selected with replacement.
All the tools & learning materials you need for study success - in one app.
Get started for free
To determine whether they have a certain disease, people are to have their blood tested. However, rather than testing each individual separately, it has been decided first to place the people into groups of . The blood samples of the people in each group will be pooled and analyzed together. If the test is negative, one test will suffice for the people, whereas if the test is positive, each of the people will also be individually tested and, in all, tests will be made on this group. Assume that the probability that a person has the disease isrole="math" localid="1646542351988" for all people, independently of one another, and compute the expected number of tests necessary for each group. (Note that we are assuming that the pooled test will be positive if at least one person in the pool has the disease.)
Show how the derivation of the binomial probabilities leads to a proof of the binomial theorem when and are nonnegative.
Hint: Let .
A certain typing agency employs typists. The average number of errors per article is when typed by the first typist and when typed by the second. If your article is equally likely to be typed by either typist, approximate the probability that it will have no errors.
Suppose that balls are put into boxes, with each ball independently being put in box with probability
(a) Find the expected number of boxes that do not have any balls.
(b) Find the expected number of boxes that have exactly ball.
At time a coin that comes up heads with probability p is flipped and falls to the ground. Suppose it lands on heads. At times chosen according to a Poisson process with rate , the coin is picked up and flipped. (Between these times, the coin remains on the ground.) What is the probability that the coin is on its head side at time? Hint: What would be the conditional probability if there were no additional flips by time , and what would it be if there were additional flips by time ?
What do you think about this solution?
We value your feedback to improve our textbook solutions.