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The Poisson distribution is a discrete distribution that expresses the probability of a fixed number of events occurring in a fixed interval.For example,suppose we want to model the number of arrivals per minute at the campus dining hall during lunch.We observe the actual arrivals in 200 one-minute periods in 1 week.The sample mean is 3.8 and the results are shown below.
The probabilities based on a Poisson distribution with a mean of 3.8 are shown below.
How many degrees of freedom is the goodness-of-fit test statistic based on?
A) 10
B) 9
C) 100
D) 81
Degrees of Freedom
The number of independent values or quantities that can vary in the calculation of a statistic, crucial for the assessment of the statistic's validity.
Goodness-of-fit Test
A statistical test used to determine how well observed sample data fits the expected distribution.
Poisson Distribution
A discrete probability distribution expressing the probability of a given number of events occurring in a fixed interval of time or space.
- Learn the application and interpretation of the Poisson distribution.
- Calculate degrees of freedom in chi-square tests.
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Learning Objectives
- Learn the application and interpretation of the Poisson distribution.
- Calculate degrees of freedom in chi-square tests.
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