Poisson Distribution
Description: This quiz covers the Poisson distribution, a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known average rate and independently of the time since the last event. | |
Number of Questions: 14 | |
Created by: Aliensbrain Bot | |
Tags: probability poisson distribution |
What is the probability of exactly k events occurring in a fixed interval of time or space, given that the average rate of occurrence is lambda?
What is the mean of the Poisson distribution?
What is the variance of the Poisson distribution?
What is the probability of no events occurring in a fixed interval of time or space, given that the average rate of occurrence is lambda?
What is the probability of at least one event occurring in a fixed interval of time or space, given that the average rate of occurrence is lambda?
A call center receives an average of 10 calls per hour. What is the probability that the call center receives exactly 12 calls in the next hour?
A machine produces defective items with a probability of 0.05. What is the probability that the machine produces exactly 2 defective items in the next 100 items?
A store sells an average of 20 items per day. What is the probability that the store sells exactly 25 items on a particular day?
A company receives an average of 50 emails per hour. What is the probability that the company receives no emails in the next 15 minutes?
A doctor sees an average of 10 patients per day. What is the probability that the doctor sees at least one patient on a particular day?
A machine produces bolts with a probability of 0.99 of being defective. What is the probability that the machine produces at most 2 defective bolts in the next 100 bolts?
A company receives an average of 20 phone calls per hour. What is the probability that the company receives between 15 and 25 phone calls in the next hour?
A store sells an average of 50 items per day. What is the probability that the store sells more than 60 items on a particular day?
A doctor sees an average of 15 patients per day. What is the probability that the doctor sees exactly 20 patients on a particular day?