Services
Discover
Ask a Question
Log in
Sign up
Filters
Done
Question type:
Essay
Multiple Choice
Short Answer
True False
Matching
Topic
Statistics
Study Set
Introduction to Probability and Statistics Study Set 1
Exam 5: Several Useful Discrete Distributions
Path 4
Access For Free
Share
All types
Filters
Study Flashcards
Practice Exam
Learn
Question 1
True/False
A binomial probability distribution shows the probabilities associated with possible values of a discrete random variable that are generated by a binomial experiment.
Question 2
True/False
The mean of a Poisson distribution, where
is the average number of successes occurring in a specified interval, is
.
Question 3
Multiple Choice
In a book, 2 misprints occur per 100 pages. Using the cumulative Poisson probability table available in your text, we can determine which of the following probabilities in a book of 500 pages?
Question 4
True/False
A life insurance salesperson makes 15 sales calls daily. The chance of making a sale on each call is 0.40. The probability that he will make at most 2 sales is less than 0.10.
Question 5
True/False
A binomial random variable is an example of a discrete random variable.
Question 6
Short Answer
A company has five applicants for two positions: three women and two men. Suppose that the five applicants are equally qualified and that no preference is given for choosing either gender. Let x equal the number of men chosen to fill the two positions. What is the mean of the probability distribution of x? ______________ What is the variance of the probability distribution of x? ______________ What is the standard deviation of the probability distribution of x? ______________
Question 7
Essay
Four in ten Americans who travel by car look for gas and food outlets that are close to or visible from the highway. Suppose a random sample of n = 20 Americans who travel by car are asked how they determine where to stop for food and gas. Let x be the number in the sample who respond that they look for gas and food outlets that are close to or visible from the highway. Calculate the mean of x. ______________ Calculate the variance of x. ______________ Calculate the interval
. ______________ What values of the binomial random variable x fall into this interval? ______________ Find
. ______________ How does this compare with the fraction in the interval
for any distribution? For mound-shaped distributions? ________________________________________________________
Question 8
Multiple Choice
The number of traffic accidents per day on a certain section of highway is thought to be Poisson distributed with a mean equal 2.19. Then the standard deviation of number of accidents is:
Question 9
True/False
The Poisson random variable is the number of successes achieved when a random sample of size n is drawn without replacement from a population of size N within which M units have the characteristic that denotes success.