/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 10 Trains headed for destination \(... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Trains headed for destination \(A\) arrive at the train station at 15 -minute intervals starting at 7 A.M., whereas trains headed for destination \(B\) arrive at 15 -minute intervals starting at 7: 05 A.M. (a) If a certain passenger arrives at the station at a time uniformly distributed between 7 and 8 A.M. and then gets on the first train that arrives, what proportion of time does he or she go to destination \(A ?\) (b) What if the passenger arrives at a time uniformly distributed between 7: 10 and 8: 10 A.M.?

Short Answer

Expert verified
(a) The proportion of time the passenger goes to destination A when arriving between 7:00 AM and 8:00 AM is 62.5%. (b) The proportion of time the passenger goes to destination A when arriving between 7:10 AM and 8:10 AM is 37.5%.

Step by step solution

01

Determine the Train Arrival Times Before 8 AM

Based on the information provided, let's list the arrival times for both destination A and destination B trains before 8 AM: Destination A: 7:00, 7:15, 7:30, 7:45 Destination B: 7:05, 7:20, 7:35, 7:50
02

Divide the Timeframes for (a) and (b) into 15-minute Intervals

(a) For the passenger arriving between 7:00 AM and 8:00 AM, we can divide this into four 15-minute intervals: 1. 7:00 - 7:15 2. 7:15 - 7:30 3. 7:30 - 7:45 4. 7:45 - 8:00 (b) For the passenger arriving between 7:10 AM and 8:10 AM, we can also divide this into four 15-minute intervals: 1. 7:10 - 7:25 2. 7:25 - 7:40 3. 7:40 - 7:55 4. 7:55 - 8:10
03

Determine the Probability of Taking a Train to Destination A for Each Time Interval

Now we will calculate the probability of taking a train to destination A for each time interval in (a) and (b): (a) Between 7:00 AM and 8:00 AM: 1. In the first interval, the probability of taking a train to destination A is 1 since no train arrives at destination B. 2. In the second interval, both A and B trains arrive, and the probability of taking a train to A is 0.5. 3. In the third interval, the probability of taking a train to destination A is also 0.5. 4. In the fourth interval, the probability of taking a train to destination A is also 0.5. (b) Between 7:10 AM and 8:10 AM: 1. In the first interval, the probability of taking a train to destination A is 0 since no train arrives at destination A. 2. In the second interval, both A and B trains arrive, and the probability of taking a train to A is 0.5. 3. In the third interval, the probability of taking a train to destination A is also 0.5. 4. In the fourth interval, the probability of taking a train to destination A is also 0.5.
04

Calculate the Overall Probability for Each Scenario

We will now calculate the overall probability for each scenario by taking the average of the probabilities for each 15-minute interval: (a) Between 7:00 AM and 8:00 AM: Overall Probability = (1 + 0.5 + 0.5 + 0.5) / 4 = 0.625 (b) Between 7:10 AM and 8:10 AM: Overall Probability = (0 + 0.5 + 0.5 + 0.5) / 4 = 0.375 Therefore, the proportions of time the passenger goes to destination A are: (a) 62.5% for arrival times between 7:00 AM and 8:00 AM (b) 37.5% for arrival times between 7:10 AM and 8:10 AM

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

If 65 percent of the population of a large community is in favor of a proposed rise in school taxes, approximate the probability that a random sample of 100 people will contain (a) at least 50 who are in favor of the proposition; (b) between 60 and 70 inclusive who are in favor; (c) fewer than 75 in favor.

A filling station is supplied with gasoline once a week. If its weekly volume of sales in thousands of gallons is a random variable with probability density function $$f(x)=\left\\{\begin{array}{ll}5(1-x)^{4} & 0

If \(X\) is uniformly distributed over \((0,1),\) find the density function of \(Y=e^{X}\)

Jones figures that the total number of thousands of miles that an auto can be driven before it would need to be junked is an exponential random variable with parameter \(\frac{1}{20} .\) Smith has a used car that he claims has been driven only 10,000 miles. If Jones purchases the car, what is the probability that she would get at least 20,000 additional miles out of it? Repeat under the assumption that the lifetime mileage of the car is not exponentially distributed, but rather is (in thousands of miles) uniformly distributed over (0,40)

The probability density function of \(X\), the lifetime of a certain type of electronic device (measured in hours), is given by $$ f(x)=\left\\{\begin{array}{ll}\frac{10}{x^{2}} & x>10 \\\0 & x \leq 10\end{array}\right.$$ (a) Find \(P\\{X>20\\}\) (b) What is the cumulative distribution function of \(X ?\) (c) What is the probability that, of 6 such types of devices, at least 3 will function for at least 15 hours? What assumptions are you making?

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.