3. Airlines sometimes overbook flights (anticipating that some passengers will not show up). Suppose that an airline took 110 reservations for a plane that has 100 seats. Let X = the number of people with reservations who will actually show up for the flight The probability distribution of X is: X | 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 P(X = x) | 0.05 0.10 0.12 0.14 0.24 0.17 0.06 0.04 0.03 0.02 0.01 0.007 0.006 0.004 0.003 (a) What is the probability that everyone who showed up for the flight can get on the flight? (b) What is the probability that exactly one passenger will not be able to get on the flight? (c) If you don't have reservations and you are number 2 on the stand-by list, what is the probability that you will be able to get on this flight?

3. Airlines sometimes overbook flights (anticipating that some passengers will not show up). Suppose that an airline took 110 reservations for a plane that has 100 seats. Let X = the number of people with reservations who will actually show up for the flight The probability distribution of X is: X | 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 P(X = x) | 0.05 0.10 0.12 0.14 0.24 0.17 0.06 0.04 0.03 0.02 0.01 0.007 0.006 0.004 0.003 (a) What is the probability that everyone who showed up for the flight can get on the flight? (b) What is the probability that exactly one passenger will not be able to get on the flight? (c) If you don't have reservations and you are number 2 on the stand-by list, what is the probability that you will be able to get on this flight?

Name: 3. Airlines sometimes overbook flights (anticipating that some passen
Uploaded: 2024-03-20T07:06:41.000Z
Channel: Bartleby
Description: 3. Airlines sometimes overbook flights (anticipating that some passengers will not show up).Suppose that an airline took 110 reservations for a plane that has 100 seats.Let X = the number of people with reservations who will actually show up for the

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

Salomé is offered to place a $10 bet on a certain event the probability of which happening is estimated to be 70%. In case of the event occurring Salomé will receive a total of $20. Let XX be the Salomé's winnings from the bet. Answer the following questions: 1. Create the probability distribution table for XX : XX outcome payoff xx ,$ P(X=x)P(X=x) win loss 2. Use the probability distribution table to find the following: E[X]=μX=E[X]=μX= dollars. (Round the answer to 2 decimal places.) SD[X]=σX=SD[X]=σX= dollars. (Round the answer to 1 decimal place.)
Please help
A lecturer knows that the probability distribution for X = number of students who come to his office on Monday is as follows: X 0 P(X=x) 0.20 1 0.25 A) 0.40 B) 0.50 C) 0.80 D) 0.90 2 0.30 3 0.15 4 0.10 What is the probability that at least 2 students come to his office on Monday?
Bill has purchased the insurance policy from an insurance company to cover the value of his new RV in case if it gets totaled for the price of $1300 per year. Bill's RV worth $38000 and the probability of him totaling the RV during the length of the policy is estimated to be 0.1%. Let X be the insurance company's profit. Answer the following questions: 1. Create the probability distribution table for X: X outcome profit x ,$ P(X=x) RV is totaled RV is not totaled 2. Use the probability distribution table to find the following: E[X]=μX= dollars. (Round the answer to 1 decimal place.) SD[X]=σX= dollars. (Round the answer to 1 decimal place.)
Suppose that the probabilities are 0.2, 0.4, 0.3, and 0.1, respectively, that 0, 1, 2, or 3 power failures will strike a certain subdivision in any given year. Find the mean and variance of the random variable X representing the number of power failures striking this subdivision. Calculate the mean, μ. The mean is (Round to two decimal places as needed.)
Suppose that the random variable , 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 0 P(x) 0.2951 0.2587 1 2 0.1924 0.1604 P(x > 0) 0.7049 = 3 4 a) What is the probability that a randomly selected person has received five tickets in a three-year period? P(x = 5) = 0.0442 b) What is the probability that a randomly selected person has received one tickets in a three-year period? P(x = 1) 0.2587 P(x≤1)=1 5 6+ c) What is the probability that that a randomly selected person has received more than zero tickets in a three- year period? 0.0492 0.0442 0.0000 > Next Question d) What is the probability that that a randomly selected person has received one or less tickets in a three-year period? Enter an integer or decimal number [more..]
The following table lists the probability distribution of the number of student taken course per semester in science centre. 3 5 6 7 P(x) 0.37 0.26 0.18 0.11 0.08 Calculate E(4X + 6).
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) =
Let X = {Email, In Person, Instant Message, Text Message}; P(Email) = 0.06 P(In Person) = 0.55 P(Instant Message) = 0.24 P(Text Message) = 0.15 Is this model a probability distribution? A. Yes. B. No. C. Maybe.
plz hurry!
II. Find the missing probability to satisfy the properties of the probability distribution. 11. 3 4 5 P(x) 0.05 0.25 0.4 0.06 12. 4 5 P(x) 0. 06 0. 23 ? 0.35 0.05 13. 3 4 5 P(x) ? 15 15 14. 5 P(x) of ? 15. X. 1 3 4. 5 P(x) 1. 10 10 4. 3. 2. 2. 2.
Let X represent the number of occupants in a fandomly chosen car on a certain stretch of highway during morning commute hours. A survey of cars showed that the probability distribution of X is as follows. Answer the questions below.