Chapter 3: Q1E (page 116)
Suppose that a random variable X has the Bernoulli distribution with the parameter p = 0.7. (See Definition 3.1.5.) Sketch the c. d. f. of X.
Short Answer
P(X ≺1) = 0.3
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Chapter 3: Q1E (page 116)
Suppose that a random variable X has the Bernoulli distribution with the parameter p = 0.7. (See Definition 3.1.5.) Sketch the c. d. f. of X.
P(X ≺1) = 0.3
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Suppose that the joint distribution of X and Y is uniform over the region in the\({\bf{xy}}\)plane bounded by the four lines\({\bf{x = - 1,x = 1,y = x + 1}}\)and\({\bf{y = x - 1}}\). Determine (a)\({\bf{Pr}}\left( {{\bf{XY > 0}}} \right)\)and (b) the conditional p.d.f. of Y given that\({\bf{X = x}}\).
Two students,AandB,are both registered for a certain course. Assume that studentAattends class 80 percent of the time, studentBattends class 60 percent of the time, and the absences of the two students are independent. Consider the conditions of Exercise 7 of Sec. 2.2 again. If exactly one of the two students,AandB,is in class on a given day, what is the probability that it isA?
Each student in a certain high school was classified according to her year in school (freshman, sophomore, junior, or senior) and according to the number of times that she had visited a certain museum (never, once, or more than once). The proportions of students in the various classifications are given in the following table:
Never once More than once
than once
Freshmen 0.08 0.10 0.04
Sophomores 0.04 0.10 0.04
Juniors 0.04 0.20 0.09
Seniors 0.02 0.15 0.10
a. If a student selected at random from the high school is a junior, what is the probability that she has never visited the museum?
b. If a student selected at random from the high school has visited the museum three times, what is the probability that she is a senior?
Let Xbe a random variable with the p.d.f. specified in Example 3.2.6. Compute Pr(X≤8/27).
There are two boxes A and B, each containing red and green balls. Suppose that box A contains one red ball and two green balls and box B contains eight red balls and two green balls. Consider the following process: One ball is selected at random from box A, and one ball is selected at random from box B. The ball selected from box A is then placed in box B and the ball selected from box B is placed in box A. These operations are then repeated indefinitely. Show that the numbers of red balls in box A form a Markov chain with stationary transition probabilities, and construct the transition matrix of the Markov chain.
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