When you make a phone call, the line is busy with probability 0.2 and no one answers with probability 0.3. The random variable X describes the conversation time (in minutes of a phone call that is answered. X is an exponential random variable with E[X] = 3 minutes. Let the random variable W denote the conversation time (in seconds) of all calls (W=0 when the line is busy or there is no answer.) a) What is FW(w)? b) What is fW(w)? c) What are E[W] and Var[W]?

When you make a phone call, the line is busy with probability 0.2 and no one answers with probability 0.3. The random variable X describes the conversation time (in minutes of a phone call that is answered. X is an exponential random variable with E[X] = 3 minutes. Let the random variable W denote the conversation time (in seconds) of all calls (W=0 when the line is busy or there is no answer.) a) What is FW(w)? b) What is fW(w)? c) What are E[W] and Var[W]?

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

See similar textbooks

Similar questions

Dispatches to the Miami Coast Guard Search & Rescue Division concern either routine or emergency cases. The time to process a routine case is an exponential random variable with an expected value of 3 minutes, while the time to process an emergency case is an exponential random variable with an expected value of 10 minutes. A dispatch is routine with a probability of 0.8, or an emergency with a probability of 0.2. The status of dispatches and processing times are independent across dispatches. Let X be the processing time of the next dispatch. a) Calculate P{X > 4}.b) Calculate E[X].c) Calculate Var(X). (Hint: Var(X) = E[Var(X |Y )] + Var(E[X |Y ]).
Suppose that the random variable x, shown below, represents the number times. P(x) represents the probability of a randomly selected person having received that number of speeding tickets during that period. Use the probability distribution table shown below to answer the following questions. 43 x P(x) = 0 1 2 3 > Next Question 4 5 6+ 0.2951 0.2587 0.1924 0.1604 a) What is the probability that a randomly selected person has received five tickets in a three-year period? P(x = 5) 0.0492 0.0442 0.0000 b) What is the probability that a randomly selected person has received one tickets in a three-year period? P(x = 1) = c) What is the probability that that a randomly selected person has received more than zero tickets in a three- year period? P(x > 0) d) What is the probability that that a randomly selected person has received one or less tickets in a three-year period? P(x ≤ 1) =
The chance of an IRS audit for a tax return with over $25,000 in income is about 2% per year. We are interested in the expected number of audits a person with that income has in a 16-year period. Assume each year is independent. Part (a) Part (b) List the values that X may take on. X=0, 1, 2,..., 15, 16 OX= 1, 2, 3, OX= 1, 2, 3, OX=1,2,3,... 15, 16 98, 99, 100 Part (c) Give the distribution of X X-B 0.02 □ Part (d) How many audits are expected in a 16-year period? (Round your answer to two decimal places.) 0.32 audits Part (e) Find the probability that a person is not audited at all. (Round your answer to four decimal places.) Part (1) Find the probability that a person is audited more than twice. (Round your answer to four decimal places.)
J 2 Uncorrelated random variables are not necessarily independent, however. A special situation occurs in the case of jointly Gaussian random variables. For the Gaussian case, uncorrelated random variables are also independent. I donot understand thses sentence. Please explain it through an example.
Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of “girls” (g) and “boys” (b), which we write gbg, bbb, etc. For each outcome, let R be the random variable counting the number of girls in each outcome. For example, if the outcome is bbb, then R(bbb)=0. Suppose that the random variable X is defined in terms of R as follows: X=R^2-2R-1. The values of X are given in the table below.
Suppose that the genders of the three children of a certain family are soon to be revealed. Outcomes are thus triples of "girls" (g) and "boys" (b), which we write gbg, bbb, etc. For each outcome, let R be the random variable counting the number of girls in each outcome. For example, if the outcome is bbg, then R(bbg) = 1. Suppose that the random variable X is defined in terms of R as follows: X=R- - 2R-4. The values of X are given in the table below. Outcome bbb ggb bbg gbg gbb bgg bgb gg Value of X-4 -4 -5 -4 -5 -4 -5 -1 Calculate the values of the probability distribution function of X, i.e. the function py. First, fill in the first row with the values of X. Then fill in the appropriate probabilities in the second row. Value x of X Px (x) E 1:48 PM 3/21/2022 hp Compag LAI956X 立
Clear my choice on 3 Suppose a discrete random variable X takes only three values 0, 2 and 3. If P(0)=D0.5, P(2)=0.2 and P(3)=D0.3 then P(X>1) is equal to: et answered ed out of 1.00 Select one: g question O a. 0.3 Ob. 0.2 Oc. 0.5 d. 0 Next pag
Assume that 12 jurors are selected from a population in which 50% of the people are Mexican-Americans. The random variable x is the number of Mexican-Americans on the jury. x 0 1 2 3 4 5 6 7 8 9 10 11 12 P(x) 0.0000.000 0.0030 0.0160 0.0540 0.1210 0.1930 0.2260 0.1930 0.1210 0.0540 0.0160 0.0030 0.0000 A. Find the probability of exactly 2 Mexican-Americans among 12 jurors. P(2)equals= b. Find the probability of 2 or fewer Mexican-Americans among 12 jurors. c. Does 2 Mexican-Americans among 12 jurors suggest that the selection process discriminates against Mexican-Americans? Why or why not?
Two coins are taken at random (without replacement) from a bag containing 6 nickels, 5 dimes, and 4 quarters. Let X denote the random variable given by the total value of the two coins. Find E(X). (Round your answer to four decimal places.)
Which of the following is an example of a discrete random variable? The amount of time it takes for a worker to complete a complex task. The monthly electric bill for a local business. The number of people eating at a local cafeteria between noon and 2:00 p.m.
An ordinary (fair) coin is tossed 3 times. Outcomes are thus triples of "heads" (h) and "tails" (t) which we write hth, ttt, etc. For each outcome, let R be the random variable counting the number of heads in each outcome. For example, if the outcome is tth, then =Rtth1. Suppose that the random variable X is defined in terms of R as follows: =X−R2−3R4. The values of X are given in the table below. Outcome htt tht hth thh ttt hhh hht tth Value of X −6 −6 −6 −6 −4 −4 −6 −6 Calculate the values of the probability distribution function of X, i.e. the function p X. First, fill in the first row with the values of X. Then fill in the appropriate probabilities in the second row.
A large bag contains pretzels with 3 different shapes: heart, square, circle . Billy plans to reach into the bag and draw out one pretzel at a time, stopping only when he has at least one pretzel of each type. Let the random variable X denote the number of pretzels that Billy will draw from the bag. You can assume that there is an infinite number of pretzels in the bag with equal proportions of each shape. Find E(X).