Chapter 5: Q3E (page 337)
If five balanced dice are rolled, what is the probability that the number 1 and the number 4 will appear the same number of times?
Short Answer
\(\frac{{2424}}{{{6^5}}}\)
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Chapter 5: Q3E (page 337)
If five balanced dice are rolled, what is the probability that the number 1 and the number 4 will appear the same number of times?
\(\frac{{2424}}{{{6^5}}}\)
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Suppose that a machine produces parts that are defective with probability P, but P is unknown. Suppose that P has a continuous distribution with pdf.
\({\bf{f}}\left( {\bf{p}} \right){\bf{ = }}\left\{ \begin{array}{l}{\bf{10}}{\left( {{\bf{1 - p}}} \right)^{\bf{9}}}\;\;{\bf{if}}\,{\bf{0 < p < 1,}}\\{\bf{0}}\;\;{\bf{otherwise}}{\bf{.}}\end{array} \right.\).
Conditional on\(P = p\), assume that all parts are independent of each other. Let X be the number of non defective parts observed until the first defective part. If we observe X = 12, compute the conditional pdf. of P given X = 12.
Suppose that X has the geometric distribution with parameter p. Determine the probability that the value ofX will be one of the even integers 0, 2, 4, . . . .
Suppose that seven balls are selected at random withoutreplacement from a box containing five red balls and ten blue balls. If \(\overline X \) denotes the proportion of red balls in the sample, what are the mean and the variance of \(\overline X \) ?
a. Sketch the c.d.f. of the standard normal distribution from the values given in the table at the end of this book.
b. From the sketch given in part (a) of this exercise, sketch the c.d.f. of the normal distribution for which the mean is−2, and the standard deviation is 3.
Suppose that two different testsAand B are to be givento a student chosen at random from a certain population.Suppose also that the mean score on test A is 85, and thestandard deviation is 10; the mean score on test B is 90,and the standard deviation is 16; the scores on the two testshave a bivariate normal distribution, and the correlationof the two scores is 0.8. If the student’s score on test A is 80, what is the probability that her score on test B will behigher than 90?
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