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Himanshu Gupta
on Oct 18, 2024

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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 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 The probabilities based on a Poisson distribution with a mean of 3.8 are shown below. 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 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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Aniya HarveyOct 22, 2024
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