Suppose that the number of drivers who travel between a particular origin and destination during a designated time period has a Poisson distribution with parameter μ = 20 (suggested in the article "Dynamic RideSharing: Theory and Practice"+). (Round your answer to three decimal places.)(a) What is the probability that the number of drivers will be at most 13?0.029☑(b) What is the probability that the number of drivers will exceed 29?0.168(c) What is the probability that the number of drivers will be between 13 and 29, inclusive?0.938What is the probability that the number of drivers will be strictly between 13 and 29?0.909(d) What is the probability that the number of drivers will be within 2 standard deviations of the mean value?0.979 Sharing: Theory and Practice"+). (Round your answerto three decimal places.) (a) What is the probability thatthe number of drivers will be at most 13? (b) What isthe probability that the number of drivers will exceed29? (c) What is the probability that the number ofdrivers will be between 13 and 29, inclusive? What isthe probability that the number of drivers will be strictlybetween 13 and 29? (d) What is the probability thatthe number of drivers will be within 2 standarddeviations of the mean value?

The provided information is as follows:The number of drivers who travel between a particular origin…

Answered: Suppose that the number of drivers who…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Customers arrive to a local bakery with an average time between arrivals of5 minutes. However, there is quite a lot of variability in the customers’ arrivals, asone would expect in an unscheduled system. The single bakery server requires anamount of time having the exponential distribution with mean 4.5 minutes to servecustomers (in the order in which they arrive). No customers leave without service.e. What is the probability that there are fewer than two customers in the bakery?
The number of earthquakes per day in the world has a Poisson distribution with parameter ?= 55. Suppose that the random variable X is the number of earthquakes occurring in one day in the world. Let the random variable Y be the total number earthquakes occurring in the world in 3 days. The Poisson distribution is very useful in analyzing phenomena which occur randomly in space or time.a. For our model, what is expected value of X? b. What is the probability that X = 55? c. What is the probability that X > 55? d. What is the probability that X >60? e. What is the smallest value C so that there is at least a 0.9 probability of no more than C earthquakes in a day? f. Y also has a Poisson distribution. What is the parameter ?y for Y? g. What is the standard deviation of X? h. What is the probability Y =164? i. What is the probability that Y < 164? j. What is the probability that X>60 given that X>55?
Q1. Please answer the question with details.
8. Final: For recent period of 100 years, there were 530 Atlantic hurricanes. Assume the Poisson distribution is a suitable model, find the probability that less than 3 hurricanes in a randomly selected year. O a. .1901 O b. None of the above O C. .2075 O d. .3701 O e..1016 日田

Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say you took a random sample of n = 250 numerical entries from the file and r = 60 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. Test the claim that p is less than 0.301 by using α = 0.01. What does the area of the sampling distribution corresponding to your P-value look like? a. The area in the right tail of the standard normal curve. b. The area not including the right tail of the standard normal curve.…
What do i specifically put in the box as p(x)=
(c) Does this Poisson distribution provide a good model for the number of accidents in this example (as per Table 1)? Explain why or why not. Use R to produce a graph to help support your answer (produce the R as part of your answer). (d) Use the model in (b) to estimate the probability that less than 2 accidents were recorded in any randomly chosen week. How does this compare to the actual data?
Steve Burns, host of the first season of Blue' clues recently bids goodbye to the show. Assuming that in his first season of hosting he can actually find an average of 15 clues that when blue leaves paw prints on the objects around her house per week. If the clues he finds follows Poisson distribution, what is the probability that there will be 5, 10 or 15 clues during the next week?

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