
The Poisson Distribution

Quiz
•
Mathematics
•
University
•
Hard
TAY KIM GAIK TAY KIM GAIK
FREE Resource
50 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Poisson distribution is applied to:
model the number of times an event occurs in a fixed interval of time or space
calculate the probability of success in a series of independent trials
determine the spread of a dataset
analyze the relationship between two variables
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Deviation from Poisson distribution may indicate some degree of what in the events under study?
Randomness
Clustering
Uniformity
Independence
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of an experiment where Poisson distribution can be applied?
The number of calls received by a switchboard during a given period of time
The number of apples in a basket
The height of students in a class
The weight of a car
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT an example of an experiment where Poisson distribution can be applied?
The number of bacteria per small volume of fluid
The number of customer arrivals at a checkout during a given minute
The number of machine breakdowns during a given day
The color of a car
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
List two examples of experiments where Poisson distribution is applicable.
Number of emails received per hour and number of decay events per unit time in a radioactive sample
Height and weight of individuals
Temperature variations over a day and stock market fluctuations
Number of students in a class and number of cars in a parking lot
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does X represent in the Poisson Distribution?
A) The number of events in a period of time or space
B) The probability of success
C) The mean of the distribution
D) The standard deviation
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Fill in the blank: The probability distribution of X is called a ______ distribution, and the distribution is written as X~P₀(μ).
Poisson
Normal
Binomial
Exponential
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