Question

A doctor's office has four telephone lines, each of which can be independently dialed by any patient. Assume that, on any given business day, the probability that the first call is received on line 1, 2, 3 and 4 are 0.2, 0.3, 0.2 and 0.3, respectively. And the first calls are independent from one business day to the other. For n business days, let $Y_i$ be the number of days on which the first call arrives on line $i$, $i=1,2,3,4$. i. (2 pts) What is the distribution for the random vector ($Y_1, Y_2, Y_3, Y_4$)? Write the name of the distribution with its parameters. ii. (2 pts) What is the distribution for the random variable $Y_4$? Write the name of the distribution with its parameters. iii. (4 pts) Let n=10, find $P(Y_1=2, Y_2=4, Y_3=2)$ iv. (4 pts) Let n=8, write the expression for $P(Y_3=Y_4)$ v. (4 pts) Let n=10. Given that $Y_4$=2, compute the probability that $Y_1=2, Y_2=4, Y_3=2$.

          A doctor's office has four telephone lines, each of which can be independently dialed by
any patient. Assume that, on any given business day, the probability that the first call is
received on line 1, 2, 3 and 4 are 0.2, 0.3, 0.2 and 0.3, respectively. And the first calls are
independent from one business day to the other. For n business days, let $Y_i$ be the number
of days on which the first call arrives on line $i$, $i=1,2,3,4$.
i. (2 pts) What is the distribution for the random vector ($Y_1, Y_2, Y_3, Y_4$)? Write the
name of the distribution with its parameters.
ii. (2 pts) What is the distribution for the random variable $Y_4$? Write the name of the
distribution with its parameters.
iii. (4 pts) Let n=10, find $P(Y_1=2, Y_2=4, Y_3=2)$
iv. (4 pts) Let n=8, write the expression for $P(Y_3=Y_4)$
v. (4 pts) Let n=10. Given that $Y_4$=2, compute the probability that $Y_1=2, Y_2=4, Y_3=2$.
        
Show more…
A doctor's office has four telephone lines, each of which can be independently dialed by
any patient. Assume that, on any given business day, the probability that the first call is
received on line 1, 2, 3 and 4 are 0.2, 0.3, 0.2 and 0.3, respectively. And the first calls are
independent from one business day to the other. For n business days, let Yi be the number
of days on which the first call arrives on line i, i=1,2,3,4.
i. (2 pts) What is the distribution for the random vector (Y1, Y2, Y3, Y4)? Write the
name of the distribution with its parameters.
ii. (2 pts) What is the distribution for the random variable Y4? Write the name of the
distribution with its parameters.
iii. (4 pts) Let n=10, find P(Y1=2, Y2=4, Y3=2)
iv. (4 pts) Let n=8, write the expression for P(Y3=Y4)
v. (4 pts) Let n=10. Given that Y4=2, compute the probability that Y1=2, Y2=4, Y3=2.

Added by Juana V.

Close

Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
AceChat toggle button
Close icon
Ace pointing down

Please give Ace some feedback

Your feedback will help us improve your experience

Thumb up icon Thumb down icon
Thanks for your feedback!
Profile picture
A doctor's office has four telephone lines, each of which can be independently dialed by any patient. Assume that, on any given business day, the probability that the first call is received on line 1, 2, 3, and 4 are 0.2, 0.3, 0.2, and 0.3, respectively. And the first calls are independent from one business day to the other. For n business days, let Y be the number of days on which the first call arrives on line i, i=1,2,3,4. i. (2 pts) What is the distribution for the random vector (Y1, Y2, Y3, Y4)? Write the name of the distribution with its parameters. ii. (2 pts) What is the distribution for the random variable Y4? Write the name of the distribution with its parameters. iii. (4 pts) Let n=10, find P(Y1=2, Y2=4, Y3=2) iv. (4 pts) Let n=8, write the expression for P(Y3=Y4) v. (4 pts) Let n=10. Given that Y4=2, compute the probability that Y1=2, Y2=4, Y3=2
Close icon
Play audio
Feedback
Powered by NumerAI
Kathleen Carty Jennifer Stoner
David Collins verified

Adi S and 55 other subject Intro Stats / AP Statistics educators are ready to help you.

Ask a new question

*

Labs

-

Want to see this concept in action?

NEW

Explore this concept interactively to see how it behaves as you change inputs.

View Labs

*

Key Concepts

-
Key Concept
Premium Feature
Explore the core concept behind this problem.
Play button
Key Concept
Premium Feature
Explore the core concept behind this problem.
Your browser does not support the video tag.

*

Recommended Videos

-
prob5-a-the-hospital-period-in-days-for-patients-following-treatment-for-a-certain-type-of-kidney-disease-is-a-random-variable-y-x-4where-x-has-the-probability-density-function-32-x-0-fxx-x-50725

(a) The hospital period, in days, for patients following treatment for a certain type of kidney disease is a random variable Y = X + 4, where X has the probability density function fX(x) = { 32 / (x + 4)^3, x > 0 0, x < 0 (i) What is the probability density function of the random variable Y? (ii) Using the pdf of Y, what is the probability that the hospital period for a patient following this treatment will exceed 8 days? (iii) Using the pdf of Y, find the probability that a patient who has been hospitalized for 8 days following this treatment will need to stay in the hospital for at least two more days. (b) At noon on a weekday, we begin recording new call at a telephone switch. Let X be the arrival time of the first call, as measured by the number of seconds after noon. Let Y be the arrival time of the second call. I common model used in the telephone industry, X and Y are continuous random variables with joint pdf fXY(x,y) = { λ^2e^(-λy), 0 ≤ x < y 0, otherwise where λ is a positive constant. (i) Find the marginal pdfs of X and Y. (ii) Find the conditional pdfs fX|Y(x|y) and fY|X(y|x).

Adi S.

11-an-airline-estimates-that-the-probability-that-a-random-call-to-their-reservation-phone-line-result-in-a-reservation-being-made-is-013-this-can-be-expressed-as-pcall-results-in-reservatio-00305

11. An airline estimates that the probability that a random call to their reservation phone line result in a reservation being made is 0.13. This can be expressed as P(call results in reservation) = 0.13. Assume each call is independent of other calls. (a) Describe what the Law of Large Numbers says in the context of this probability. (b) What is the probability that none of the next four calls results in a reservation? (c) You want to estimate the probability that exactly one of the next four calls result in a reservation being made. Describe the design of a simulation to estimate this probability. Explain clearly how you will use the partial table of random digits below to carry out your simulation. (d) Carry out 5 trials of your simulation. Mark on or above each line of the table so that someone can clearly follow your method. 32006 81221 00693 95197 75044 46596 11628 76302 88296 95670 74932 65317 93848 43988 47597 83044 79485 92200 99401 54473 34336 82786 05457 60343 40830 24979 23333 37619 56227 95941 59494 86539 87370 88099 89695 87633 76987 85503 26257 51736

Rashmi S.

the-number-of-emergency-calls-received-by-an-operator-is-modeled-using-a-poisson-process-with-rate-3-per-hour-a-what-is-the-distribution-of-the-number-of-calls-in-a-day-write-down-the-pmf-b-97707

The number of emergency calls received by an operator is modeled using a Poisson process with a rate of 3 per hour. (a) What is the distribution of the number of calls in a day? Write down the pmf. (b) What is the probability that the operator does not receive any phone call in a 30-minute interval? (c) What is the probability that the operator receives one or more calls in a 1-hour interval? (d) Calculate the probability that the operator receives 6 or more calls in 1 hour. (e) If we consider a time interval and we know the exact number of calls received in that time interval, then the calls are distributed independently and uniformly within that time interval. We know that exactly one call was received from 10 pm to 10:15 pm: what is the probability that this call was received after 10:10 pm? (f) If we consider the waiting time until the next emergency call, this is an exponential random variable with a rate parameter equal to 3. What is the expected waiting time, in minutes, for the next call?

Sri K.


*

Recommended Textbooks

-
Elementary Statistics a Step by Step Approach

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition
achievement 1,045 solutions
The Practice of Statistics for AP

The Practice of Statistics for AP

Daren S. Starnes, Daniel S. Yates, David S. Moore 4th Edition
achievement 1,512 solutions
Introductory Statistics

Introductory Statistics

Barbara Illowsky, Susan Dean 1st Edition
achievement 1,480 solutions

*

Transcript

-
00:01 Then x is defined as 32 pi x plus 4 the whole root when the range x greater than 0 and it takes value 0 elsewhere and we have defined a random variable y as x plus 4 then we can write as x is equal to y minus 4 then.
00:28 Now x is range integer is 0 to 20.
00:33 So, correspondingly y will range from 4 to infinity here then we can find dy is equal to 30 here which means that dx by dy is equal to 1...
Need help? Use Ace
Ace is your personal tutor. It breaks down any question with clear steps so you can learn.
Start Using Ace
Ace is your personal tutor for learning
Step-by-step explanations
Instant summaries
Summarize YouTube videos
Understand textbook images or PDFs
Study tools like quizzes and flashcards
Listen to your notes as a podcast
Continue solving this problem
Create a free account to:
  • View full step-by-step solution
  • Ask follow-up questions with Ace AI
  • Save progress and study later
Continue Free
Join the community

18,000,000+

Students on Numerade


Trusted by students at 8,000+ universities

Numerade

Get step-by-step video solution
from top educators

Continue with Clever
or



By creating an account, you agree to the Terms of Service and Privacy Policy
Already have an account? Log In

A free answer
just for you

Watch the video solution with this free unlock.

Numerade

Log in to watch this video
...and 100,000,000 more!


EMAIL

PASSWORD

OR
Continue with Clever