
Binomial Geometric Poisson Distributions
Authored by Anthony Clark
Mathematics
12th Grade
CCSS covered

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15 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
A rental car service center company has 5 cars available for rental each day. Assume that each car is rented out for the whole day and that the number of cars rented out each day is randomly distributed with a mean of 2. Find the probability that the company cannot meet the demand for cars on any one day.
0.0166
0.0527
0.9473
0.0361
2.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which criteria does a binomial distribution need to meet?
BIFS: Binary outcomes, Independent trials, First occurrence, Set probability for Success
BINS: Binary outcomes, Independent trials, set Number of trials, Set probability for Success
PINT: Probability of x occurrences in set interval, Independent occurrences, constant Number of occurrences per interval, set Time interval
3.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Defective parts occur on a production line at a rate of .069 defects per minute, they occur in a pattern that is Poisson distributed. What is the probability there will be fewer than 15 minutes between defects? Name that distribution.
Binomial
Exponential
Geometric
Poisson
4.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Defective parts occur on a production line at a rate of .069 defects per minute, they occur in a pattern that is Poisson distributed. What will you put into the calculator to calculate the probability that less than 15 minutes elapse between defects?
Binom (LB - inf, UB 15, n = 50, p = .069)
Geom (Lambda .069, LB 0, UB 15)
Poisson (lambda .069, LB 0, UB 15)
5.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Which two distributions complement each other - one looking at the probability of a set time between arrivals and the other looking at when the first arrival will occur?
Exponential and binomial
Binomial and Poisson
Exponential and Poisson
Normal and binomial
6.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Find the mean of a binomial distribution with n=50 and p=0.4
50
4
20
10
7.
MULTIPLE CHOICE QUESTION
1 min • 1 pt
Suppose 2% of all credit card transactions are fraudulent. If there 50 transactions per day, Which distribution can be use to find out the probability that at least 2 transactions are fraudulent?
Uniform
Binomial
Geometric
Hypergeometric
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