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2 days ago · scipy.stats.binom¶ scipy.stats.binom (* args, ** kwds) = <scipy.stats._discrete_distns.binom_gen object> [source] ¶ A binomial discrete random variable. As an instance of the rv_discrete class, binom object inherits from it a collection of generic methods (see below for the full list), and completes them with details specific for this particular distribution.

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When a binomial distribution of events is being considered, we can use this algorithm to calculate the probability of obtaining a given number of successes in a given number of Bernoulli trials. It is necessary to provide the probability of succes on a single trial. We don't use any special statistical toolbox or function here.

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The Binomial Distribution •The binomial experiment can result in only one of two possible outcomes. •Typical cases where the binomial experiment applies: –A coin flipped results in heads or tails –An election candidate wins or loses –An employee is male or female –A car uses 87octane gasoline, or another gasoline.

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An example of the Binomial distribution An unfair coin: P(Head) = 2=3 and P(Tail) = 1=3 Let X= No. of heads observed in 5 coin tosses Xcan take on any of the values 0;1;2;3;4;5 Xis a discrete random variable Some values of X will be more likely to occur than others. Each value of X will have a probability of occurring. What are these probabilities?

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Provides a collection of 106 free online statistics calculators organized into 29 different categories that allow scientists, researchers, students, or anyone else to quickly and easily perform accurate statistical calculations.

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Example binomial pdf: What is the probability that a basketball player who makes 82% shots, shoots 25 times and misses 6? The fact that there are a fixed number of trials (25) and a fixed probability (.18) lets me know that