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Introduction to Probability and Statistics
Exam 5: Several Useful Discrete Distributions
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Question 1
True/False
Where n = 150 is the number of trials and p = 0.6 is the probability of success in each trial, the standard deviation of a binomial experiment is 36.
Question 2
True/False
A warehouse contains six parts made by company A and ten parts made by company B. If four parts are selected at random from the warehouse, the probability that none of the four parts is from company A is approximately 0.1154.
Question 3
Multiple Choice
What does the binomial distribution formula do?
Question 4
Multiple Choice
For a binomial experiment with n trials, p is the probability of success, q is the probability of failure, and x is the number of successes in n trials. Which one of the following statements is NOT a property of such an experiment?
Question 5
Essay
Automobile Spark Plugs Narrative An eight-cylinder automobile engine has two misfiring spark plugs. The mechanic removes all four plugs from one side of the engine. -Refer to Automobile Spark Plugs Narrative. What is the probability the two misfiring spark plugs are among those removed?
Question 6
Essay
Automobile Service Centre Narrative An automobile service centre can take care of eight cars per hour. Assume that the cars arrive at the service centre randomly and independently of each other at a rate of six per hour, on average. -Refer to Automobile Service Centre Narrative. What is the probability that fewer than two cars will be in the service centre at any point during a given hour?
Question 7
Essay
Toll Station Narrative It is known that between 8 and 10 a.m. on Saturdays, cars arrive at a certain toll station at a rate of 60 per hour. Assume that a Poisson process is occurring and that the random variable x represents the number of cars arriving at the station between 9:00 and 9:05 a.m. -Refer to Toll Station Narrative. What is the standard deviation of the number of cars arriving at the toll station between 9:00 and 9:05 a.m.?
Question 8
Essay
The number of teleport inquiries, x, in a timesharing computer system averages 0.2 per millisecond and follows a Poisson distribution. a. Find the probability that no inquiries are made during the next millisecond. b. Find the probability that no inquiries are made during the next three milliseconds.
Question 9
Essay
It is known that in an Introductory Statistics class of 20 students, 70% of them own smartphones. If you were to randomly pick 10 students from that class, what is the probability that 70% of those picked would have smartphones?
Question 10
Essay
Warehouse Narrative A warehouse contains ten computer printers, four of which are defective. A company randomly selects five of the ten printers to purchase. -Refer to Warehouse Narrative. What is the variance of x?
Question 11
Multiple Choice
Which of the following distributions could NOT be used to describe the exact distribution for a discrete random variable?
Question 12
Multiple Choice
Given a Poisson random variable x, where the average number of times an event occurs in a certain period of time or space is 1.5, then what is P(x = 2) ?
Question 13
Multiple Choice
Which of the following experiments CANNOT be modelled by a Poisson distribution?
Question 14
Essay
Automobile Service Centre Narrative An automobile service centre can take care of eight cars per hour. Assume that the cars arrive at the service centre randomly and independently of each other at a rate of six per hour, on average. -Refer to Automobile Service Centre Narrative. What is the probability that exactly six cars will be in the service centre at any point during a given hour?
Question 15
True/False
A warehouse contains six parts made by company A and ten parts made by company B. If four parts are selected at random from the warehouse, the probability that all four parts are from company B is approximately 0.008.