Question

The number of work related injuries per month in a manufacturing plant is known to follow...

The number of work related injuries per month in a manufacturing plant is known to follow a poission with a mean of 2.5 work related injuries a month. A write the appropriate piossion probability function B what is the probability that in a given month, no work related injuries occur C what is the probability that in a given month,at least one work related injury occurs.

Homework Answers

Answer #1

a)


As per Poisson's distribution function P(X = x) = λ^x * e^(-λ)/x!

b)

Here, λ = 2.5 and x = 0
As per Poisson's distribution formula P(X = x) = λ^x * e^(-λ)/x!

We need to calculate P(X = 0)
P(X = 0) = 2.5^0 * e^-2.5/0!
P(X = 0) = 0.0821
Ans: 0.0821


c)

Here, λ = 2.5 and x =1
As per Poisson's distribution formula P(X = x) = λ^x * e^(-λ)/x!

We need to calculate P(X >=1 ) = 1 - P(X <= 0).
P(X >=1) = 1 - (2.5^0 * e^-2.5/0!)
P(X > =1) = 1 - (0.0821)
P(X >=1) = 1 - 0.0821 = 0.9179

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
The number of work-related injuries per month in a manufacturing plant is known to follow a...
The number of work-related injuries per month in a manufacturing plant is known to follow a Poisson distribution, with a mean of 3.5 work-related injuries a month. a. Write the appropriate Poisson probability function. b. What is the probability that in a given month, no work-related injuries occur? c. What is the probability that in a given month, at least two work-related injury occurs?.
1)The annual number of industrial accidents occurring in a particular manufacturing plant is known to follow...
1)The annual number of industrial accidents occurring in a particular manufacturing plant is known to follow a Poisson distribution with mean 12. What is the probability of observing of observing exactly 12 accidents during the coming year? What is the probability of observing no more than 12 accidents during the coming year? What is the probability of observing at least 15 accidents during the coming year? What is the probability of observing between 10 and 15 accidents (including 10 and...
A large manufacturing plant has averaged seven “reportable accidents” per month. Suppose that accident counts over...
A large manufacturing plant has averaged seven “reportable accidents” per month. Suppose that accident counts over time follow a Poisson distribution with mean of 8 per month. What is the probability that the plant will have 100 or fewer accidents in a year? Group of answer choices 0.3549 0.6451 0.3182 0.6818 0.0367
A maintenance worker in a large manufacturing plant knows that a filling machine breaks down on...
A maintenance worker in a large manufacturing plant knows that a filling machine breaks down on average 3 times per month. Assume these break downs occur randomly and independently of one another. a. If the random variable X is the number of times the machine breaks down, identify the distribution of X and state the value/s of its parameter/s b. Calculate (using the appropriate statistical tables) the probability there are less than three breakdowns in the next month. c. Calculate...
Suppose that the average number of accidents at an intersection is 2 per month. a) Use...
Suppose that the average number of accidents at an intersection is 2 per month. a) Use Markov’s inequality to find a bound for the probability that at least 5 accidents will occur next month. b) Using Poisson random variable (λ = 2) calculate the probability that at least 5 accidents will occur next month. Compare it with the value obtained in a). c) Let the variance of the number of accidents be 2 per month. Use Chebyshev’s inequality to find...
Records pertaining to the monthly number of job-related injuries at an underground coal mine were being...
Records pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by a federal agency. The values for the past 100 months are given (see file H9.xlsx, sheet P3). Apply the chi-square test to the data to test the hypothesis that the underlying distribution is Poisson. Use a level of significance of a = 0.05. Apply the chi-square test to the data to test the hypothesis that the underlying distribution is Poisson with mean...
Q. For a certain manufacturing industry the number of industrial accidents averages three per week. Find...
Q. For a certain manufacturing industry the number of industrial accidents averages three per week. Find the probability that three accidents will occur in a given week and the mean , the variance and the cumulative distribution ?
Assume that the number of calls coming into a hotel’s reservation center follow a Poisson process...
Assume that the number of calls coming into a hotel’s reservation center follow a Poisson process with a mean of four calls per minute. a. Find the probability that no calls will arrive in a given 2-minute period. b. Find the probability that at least ten calls will arrive in a given 3-minute period. c. Find the probability that at least twenty calls will arrive in a given 5-minute period
4. Deaths in a small city occur at a rate of 5 per week and are...
4. Deaths in a small city occur at a rate of 5 per week and are known to follow a Poisson distribution. a. What is the expected number of deaths in a 3-day period? b. What is the probability no one dies in a 3-day period? c. What is the probability that at least 250 people die in 52 weeks? d. What is the probability that number of deaths in a 3-day period is less than µ + σ?
Over the past 5 years, U.S. airlines average about 1 fatality per month (U.S. Department of...
Over the past 5 years, U.S. airlines average about 1 fatality per month (U.S. Department of Transportation, National Transportation Statistics: 2015). Assume that the probability distribution for x, the number of fatalities per month, can be approximated by a Poisson probability distribution. (a) What is the probability that no fatalities will occur during any given month? (b) What is the probability that one fatality will occur during a month? (c) Find E(x) and the standard deviation of x.