Question

Suppose the number of births that occur in a hospital can be assumed to have a Poisson distribution with parameter-the averag

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Answer

mean occurrence= 1.8 (\mu)

we have to find probability of observing at least 2 births in a given hour

P(x \ge 2) = 1 - [P(x = 1)+P(x=0)]

where

P(x=1) = (e^{-\mu} * \mu^x)/x!

where \mu = 1.8 and x =1

= (e^{-1.8} * 1.8^1)/1!

= 0.2975

And

P(x=0) = (e^{-\mu} * \mu^x)/x!

where \mu = 1.8 and x =0

= (e^{-1.8} * 1.8^0)/0!

= 0.1653

this implies

P(x \ge 2) = 1 - [P(x = 1)+P(x=0)]

= 1-[0.2975+0.1653]

= 0.5372

Probability is 0.5372

Add a comment
Know the answer?
Add Answer to:
Suppose the number of births that occur in a hospital can be assumed to have a...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • 9. Births in a hospital occur randomly at an average rate of 1.8 births per hour. process is a Po...

    please solve all questions... emergency 9. Births in a hospital occur randomly at an average rate of 1.8 births per hour. process is a Poisson random variable. Assume that birth (3 pts) What about the probability of observing more than or equal to 2 births in a given hour at the hospital? b. e opo Wahat he probabiliy h dly 10 biths n day t d. What is the expected number of births in two hours? 10. Suppose that on...

  • 4. At a local hospital, babies are born at an average rate of four births per...

    4. At a local hospital, babies are born at an average rate of four births per night (consider "night" to be an 8 hour period from 10pm to 6am). Assume that the time that elapsed from one birth to the next has the exponential distribution. Take note that we are concerned only with the rate at which babies are born, and we are ignoring the time spent in labor. We must also assume that the times spent between births are...

  • 1. Assume the number of births in a local hospital follows a Poisson distribution and averages...

    1. Assume the number of births in a local hospital follows a Poisson distribution and averages 2.6 per day. (a) What is the probability that no births will occur today? (b) What is the probability that less than four births will occur today? (c) What is the probability that no more than one birth will occur in two days? 2. A particular intersection in Delaware is equipped with surveillance camera. The number of traffic tickets issued to drivers passing through...

  • 7, of all snowfalls in New Yok, 590 are heavy. After a heavy snowfall, school are closed 67% of t...

    Please solve all questions. emergency... 7, of all snowfalls in New Yok, 590 are heavy. After a heavy snowfall, school are closed 67% of the time. After a light snowfall, school are closed 3% of the time. a. (3 pts) Draw a table or a tree diagram? b. (3 pts) Find the probability that school is closed given that it was a heavy snowfall? c. (2 pts) Find the probability that school is open? 8. You sell sandwiches. 70% of...

  • Assume the number of births in a local hospital follows a Poisson distribution and averages 2.6...

    Assume the number of births in a local hospital follows a Poisson distribution and averages 2.6 per day. Complete parts a through c. a. What is the probability that no births will occur today? The probability that no births will occur today is 0.0743 . (Round to four decimal places as needed.) b. What is the probability that fewer than five births will occur today? 1. The probability that fewer than five births will occur today is (Round to four...

  • Suppose the number of spam calls a person receives per day can be assumed to follow...

    Suppose the number of spam calls a person receives per day can be assumed to follow a Poisson distribution with parameter λ=2. What is the probability that Jacob will receive at least two spam calls in a day? Show your steps in calculating your answer

  • In a recent​ year, a hospital had 4391 births. (A) Find the mean number of births...

    In a recent​ year, a hospital had 4391 births. (A) Find the mean number of births per​ day, (B) then use that result and the Poisson distribution to find the probability that in a​ day, there are 15 births. (C) Does it appear likely that on any given​ day, there will be exactly 15 ​births?

  • Question Help In a recent year, a hospital had 4145 births. Find the mean number of...

    Question Help In a recent year, a hospital had 4145 births. Find the mean number of births per day, then use that result and the Poisson distribution to find the probability that in a day, there are 13 births. Does it appear likely that on any given day, there will be exactly 13 births? The mean number of births per day is (Round to one decimal place as needed.) The probability that, in a day, there are 13 births is...

  • Suppose traffic accidents at a road intersection occur once every 7 days. It can be assumed...

    Suppose traffic accidents at a road intersection occur once every 7 days. It can be assumed there is no more than 1 accident occurring at this intersection simultaneously, and at this intersection accidents can occur at any time. Also, an accident is not due to other accidents. (What type of distribution is this i.e. Gaussian, Poisson, etc.?) What is the probability that there are 3 accidents during the next 15 days at the intersection? Calculate by hand. What is the...

  • Problem 5. The number of orders per week, X, for radios can be assumed to have...

    Problem 5. The number of orders per week, X, for radios can be assumed to have a Poisson distribution with parameter 35. (a) Find P(X 2 35 and P(X 25). (b) If the number of radios in the inventory is 38, what is the probability of a shortage occurring in a week?

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT