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    The Bernoulli scheme is a mathematical model that is used to calculate the probability of an event happening when it is not certain whether it will happen or not.

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    The Bernoulli scheme is an experiment that demonstrates the relationship between the probability of success and the number of trials.

    The Bernoulli scheme is a famous experiment that was devised by Swiss mathematician Jacques de Fermat in 1637. It was designed to demonstrate how the probability of success changes depending on the number of trials. In this experiment, there are two groups, one with a success rate of 0.5 and another with a success rate of 0.25. The first group has five trials and the second group has four trials.

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    The Bernoulli scheme is a probability distribution that describes the probability of a certain event happening in a random process.

    The Bernoulli scheme is a probability distribution that describes the probability of a certain event happening in a random process. A Bernoulli scheme has only two possible outcomes, 0 and 1. The Bernoulli scheme is used to model events that are binary, such as coin tosses or dice rolls.

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    The Bernoulli scheme is a probability distribution that describes the likelihood of either success or failure for an event. The Bernoulli scheme takes two possible outcomes, with p being the probability of success and q being the probability of failure. If we assume that there are N trials, then we can calculate the expected value E(X) as follows:

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    The Bernoulli scheme is a probability theory that states that the probability of an event occurring is the same as the probability of not occurring.

    The Bernoulli scheme was first proposed by Jacob Bernoulli in 1713. He used this experiment to demonstrate how to calculate probabilities in general.

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    The Bernoulli scheme is a method for generating random numbers. It is named after the Swiss mathematician Daniel Bernoulli.

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