Chapter 4: Q. 4. 26 (page 172)
Prove
Hint: Use integration by parts.
Short Answer
The idea of the proob is integrating by parts the right side of the equation times.
Chapter 4: Q. 4. 26 (page 172)
Prove
Hint: Use integration by parts.
The idea of the proob is integrating by parts the right side of the equation times.
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Get started for freeLet X be a binomial random variable with parameters (n, p). What value of p maximizes P{X = k}, k = 0, 1, ... , n? This is an example of a statistical method used to estimate p when a binomial (n, p) random variable is observed to equal k. If we assume that n is known, then we estimate p by choosing that value of p that maximizes P{X = k}. This is known as the method of maximum likelihood estimation.
Here is another way to obtain a set of recursive equations for determining , the probability that there is a string of consecutive heads in a sequence of flips of a fair coin that comes up heads with probability :
(a) Argue that for , there will be a string of consecutive heads if either
1. there is a string of consecutive heads within the first flips, or
2. there is no string of consecutive heads within the first flips, flip is a tail, and flips are all heads.
(b) Using the preceding, relate . Starting with , the recursion can be used to obtain , then, and so on, up to .
and will take the same -question examination. Each question will be answered correctly by with probability, independently of her results on other questions. Each question will be answered correctly by B with probability , independently both of her results on the other questions and on the performance of
(a) Find the expected number of questions that are answered correctly by both A and B.(b) Find the variance of the number of questions that are answered correctly by either A or B
Let be a random variable having expected value and variance . Find the expected value and variance of.
Two fair dice are rolled. Let equal the product of the dice. Compute .
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