Binomial Geometric Poisson Dec 6

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What is a Binomial Distribution?

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A Binomial Distribution is a probability distribution that summarizes the likelihood that a value will take one of two independent states and is characterized by a fixed number of trials, each with the same probability of success.

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What is a Geometric Distribution?

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A Geometric Distribution models the number of trials needed to get the first success in a series of independent Bernoulli trials, where each trial has the same probability of success.

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What is a Poisson Distribution?

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A Poisson Distribution is a probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space, given that these events occur with a known constant mean rate and independently of the time since the last event.

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What is the mean of a dataset?

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The mean is the average value of a dataset, calculated by summing all the values and dividing by the number of values.

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What is the median of a dataset?

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The median is the middle value of a dataset when the values are arranged in ascending order. If there is an even number of observations, the median is the average of the two middle numbers.

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What is the mode of a dataset?

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The mode is the value that appears most frequently in a dataset.

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What is the range of a dataset?

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The range is the difference between the highest and lowest values in a dataset.

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What type of data does a Binomial Distribution deal with?

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A Binomial Distribution deals with discrete data, specifically binary outcomes (success or failure) across a fixed number of trials.

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What type of data does a Geometric Distribution deal with?

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A Geometric Distribution deals with discrete data, specifically the number of trials until the first success.

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What type of data does a Poisson Distribution deal with?

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A Poisson Distribution deals with discrete data, specifically the number of events in a fixed interval of time or space.