If X and Y are mutually exclusive events with P(X) = 0.265, P(Y) = 0.38, then PCX Y)= O a. 1 b.0 swered C. 0.735 O d. 0.101
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- Here's a discrete probability experiment: a college instructor keeps track of the number of students who come in during her office hours. In the table, x is the number of students who visit her during her office hours, and P(x) is the associated probability. P(x) 0.25 0.15 0.25 0.35 (a) Find the probability that at least one student comes in during office hours. (b) Find the probability that NO students come. (c) What word do we use to denote the relationship of the events described in (a) and (b)? O skewed O complements O correlated O independent (d) What's the average number of students the instructor can expect to come in during office hours? Don't round your answer. students, on averageLet A and B be two independent events with P(A) = 0.25 and P(AU B) = 0.75. Then, the value of P(A – B) is O0.33333 00.08333 00.5 0.125Pr. 3 Production. In a production process, let N mean "no trouble" and T"trouble." Let the transition probabilities from one day to the next be 0.8 for N ->>> N, hence 0.2 for N ->>> T, and 0.5 for T → N, hence 0.5 for T→ T. If today there is no trouble, what is the probability of N two days after today? Three days after today?
- Let X be the number of random number of cars and the Y be the number of buses per signal cycle at a proposed left turn lane is displayed in the accompanying joint probability table. Y X/Y 1 2 0.025 0.015 0.010 1 0.050 0.030 0.020 2 0.125 0.075 0.050 3 0.150 0.090 0.060 4 0.100 0.060 0.040 5 0.050 0.030 0.020 Find the probability that there is exactly two cars and exactly one bus during a cycle? What is the probability that there is almost one car and at most one bus during a cycle? What is the probability that there is exactly one car during a cycle? Exactly one bus?A contractor is required by a county planning department to submit one, two, three, four, five, or six forms (depending on the nature of the project) in applying for a building permit. Let Y = the number of forms required of the next applicant. The probability that y forms are required is known to be proportional to y-that is, p(y) = ky for y = 1, ..., 6. (Enter your answers as fractions.) (a) What is the value of k? [Hint: S P(Y) = 1] y = 1 k = (b) What is the probability that at most three forms are required? (c) What is the probability that between two and five forms (inclusive) are required? (d) Could p(y) = for y = 1, ..., 6 be the pmf of Y? 92 ---Select--- v because p(y) = y = 1The random variable X can take on the values 2, 4 and 6, and the random variable Y can take onthe values 2, 6 and 10. Their joint probability distribution is given by the following table:Y2 6 10X2 0.10 0.05 0.104 0.10 0.15 0.256 0.10 0.10 0.05a. Describe in words and notation the event that has probability 0.25 in the table.b. Calculate the marginal distribution of X.c. Calculate ?ሺ? 4ሻ.d. Calculate the population mean of X.e. Calculate the conditional distribution of Y given X=2.f. Calculate E(Y|X=2).
- 3. Consider two evénts A and B such that Pr(A) = 1/3 and Pr(B)= 1/2. Determine the value of Pr(B 0A) for each of the following conditions: (a) A and B are disjoint: (b) AC B: (c) Pr(A O B)= 1/8.2. Let X be the mean of a random sample of n = 25 from N(30, 9). Find the probability that the sample mean is between 29.8 and 30.6.DO OD. None of the above 14. If X is distributed as Binomial with n = 9 and p = 0.45, then the probability that X is at least 0 and at most 9 is O O Ο Α. 0 O B. (0.45)^9 C. 1 OD. (0.45)(9) 15. Let A and C be independent events, with P(A) = 1/3 and P(C) = 4, then P(AUC) is O A. 7/12 O O O nined B. 1/2 C. 0 OD. 5/12 16. Let A and C be mutually exclusive events with P(A) = 3/8, P(C) = 1/8, AU C) = ½2, then P(AC) is
- Given X and Y are two events. LetP(M)= 0.49, P(N) = 0.44, P(MN) = 0.17 Find the value of P(M/N'),given M and N are two events.Let X₁ and X₂ be independent r.v.'s having the same distribution, taking on values 0 and 1 with respective probabilities 0.2 and 0.8. Answer Questions 12 and 13 below. Question 12 Write the m.g.f. of X₁ + X₂ + 2. (0.2+0.8e²) ²% e²z ○ (0.2e + 0.8e²x) e²z (1 + 0.² e² )² e²² (0.2+0.8e²)² e²z Question 13 Write the m.g.f. of X₁ – 2X₂. (0.2 +0.8e²) (0.2 +0.8e-2²) (0.8e + 0.2e²) (0.2e + 0.8e-2²) (0.2e +0.8e²) (0.2e-² +0.8e-²²) O (0.2e² +0.8e-²) (0.2e + 0.8e²)Solve the below problem. Table 1 contains the probabilities associated with each possible pair of values for Y, and Y, and is known as the joint probability function for Y,and Y2 Table: Probability function for Y, and Y, Yı_ y2 0 1 2 0 1/9 2/9 1/9 2/9 2/9 0 1 | 2 1/9 0 Find F (1, –2) and F(3,3).