Question

Number of patients that arrive in a hospital emergency center between 6 pm and 7 pm...

  1. Number of patients that arrive in a hospital emergency center between 6 pm and 7 pm is modeled by a Poisson distribution with λ=3.5. Determine the probability that the number of arrivals in this time period will be
  1. Exactly four
  2. At least two
  3. At most three

Homework Answers

Answer #1

Solution :

Given that ,

mean = = 3.5

a)

Using poisson probability formula,

P(X = x) = (e- * x ) / x!

P(X = 4) = (e-3.5 * 3.54) / 4! = 0.1888

Probability = 0.1888

b)

P(X ≥ 2) = 1 − P(X < 2)

= 1−P( X ≤ 1)

= 1 - (P(X = 0) + P(X = 1))

= 1 - ( (e-3.5 * 3.50) / 0! +  (e-3.5 * 3.51) / 1!)

= 1 - (0.0302 + 0.1057)

=1−0.1359

= 0.8641

Probability = 0.8641

c)

P( X ≤ 3) = P(X = 0)+P(X = 1)+P(X =2)+P(X = 3)

=  e-3.5 * 3.50 / 0! + e-3.5 * 3.51 +e-3.5 * 3.52 / 2! + e-3.5 * 3.53 /3!

= 0.0302+0.1057+0.185+0.2158

= 0.5366

Probability = 0.5366

Know the answer?
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
Similar Questions
Work the following problem in Excel Patients arrive at the emergency room of Costa Valley Hospital...
Work the following problem in Excel Patients arrive at the emergency room of Costa Valley Hospital at an average of 5 per day. The demand for emergency room treatment at Costa Valley follows a Poisson distribution. (a) Using Excel compute the probability of exactly 0, 1, 2, 3, 4, and 5 arrivals per day. (b) What is the sum of these probabilities, and why is the number less than 1?
The number of people arriving at an emergency room follows a Poisson distribution with a rate...
The number of people arriving at an emergency room follows a Poisson distribution with a rate of 10 people per hour. a.What is the probability that exactly 7 patients will arrive during the next hour? b. What is the probability that at least 7 patients will arrive during the next hour? c. How many people do you expect to arrive in the next two hours? d. One in four patients who come to the emergency room in hospital. Calculate the...
The number of people arriving for treatment at an emergency room can be modeled by a...
The number of people arriving for treatment at an emergency room can be modeled by a Poisson process with a rate parameter of five per hour. By using Poisson Distributions. Find: (i) What is the probability that exactly four arrivals occur during a particular hour? (ii) What is the probability that at least four people arrive during a particular hour? (iii) What is the probability that at least one person arrive during a particular minute? (iv) How many people do...
The number of people arriving for treatment at an emergency room can be modeled by a...
The number of people arriving for treatment at an emergency room can be modeled by a Poisson process with a rate parameter of four per hour. (a) What is the probability that exactly two arrivals occur during a particular hour? (Round your answer to three decimal places.) (b) What is the probability that at least two people arrive during a particular hour? (Round your answer to three decimal places.) (c) How many people do you expect to arrive during a...
Number of visits to an emergency center is modeled as a Poisson process with average number...
Number of visits to an emergency center is modeled as a Poisson process with average number of arrivals being 6 per hour. What is the probability that it will take more than 15 minutes for the next two arrivals?
If the number of patients arriving to emergency room follows Poisson distribution, then the time between...
If the number of patients arriving to emergency room follows Poisson distribution, then the time between arrivals is exponentially distributed.
Number of visits to an emergency center is modeled as a poisson process with an average...
Number of visits to an emergency center is modeled as a poisson process with an average number of arravals being 6 per hour. What is the probability that it will take more than 15 minutes for the next two arrivals? PLEASE SHOW ALL WORK
The time between successive arrivals of calls to emergency service is random variable which follows exponential...
The time between successive arrivals of calls to emergency service is random variable which follows exponential distribution. It was observed that on average calls arrive to emergency service every four minutes (1 / λ = 4min) and average number of calls in one minute is λ = 0.25 calls/ 1 min The probability that the time between successive calls is less than 2 minutes is ______ A call just arrived to emergency service. The probability that next call will arrive...
Every day, patients arrive at the dentist’s office. If the Poisson distribution were applied to this...
Every day, patients arrive at the dentist’s office. If the Poisson distribution were applied to this process: a.) What would be an appropriate random variable? What would be the exponential-distribution counterpart to the random variable? b.)If the random discrete variable is Poisson distributed with λ = 10 patients per hour, and the corresponding exponential distribution has x = minutes until the next arrival, identify the mean of x and determine the following: 1. P(x less than or equal to 6)...
The number of emergency cases in a health center is distributed Poisson with rate 3.5 per...
The number of emergency cases in a health center is distributed Poisson with rate 3.5 per an hour, if you know that in a given hour three cases have occured, then the probability that exactly four cases will occur in this hour is: a. 0.588 d. 0.653 b. 0.278 e. 0.352 c. 0.407