Binomial and Poisson Distributions Comparison by Josh Dimick
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This example demonstrates the comparison between the Binomial and Poisson distributions and their relation to the normal curve. Key math concepts include probability & statistics: Binomial Distribution, Poisson Distribution, Normal Distribution, Standard Deviation. Construction involves commands like BinomialDist, Histogram, Poisson, Normal, and objects such as n (number of trials), p (probability of success). Suitable for high school students and learners needing to understand probability distributions.
GeoGebra Commands & Parameters
BinomialDist(n, p, B2, false) → C2BinomialDist(n, p, B3, false) → C3BinomialDist(n, p, B4, false) → C4BinomialDist(n, p, B5, false) → C5BinomialDist(n, p, B6, false) → C6BinomialDist(n, p, B7, false) → C7BinomialDist(n, p, B8, false) → C8BinomialDist(n, p, B9, false) → C9BinomialDist(n, p, B10, false) → C10BinomialDist(n, p, B11, false) → C11BinomialDist(n, p, B12, false) → C12BinomialDist(n, p, B13, false) → C13BinomialDist(n, p, B14, false) → C14BinomialDist(n, p, B15, false) → C15BinomialDist(n, p, B16, false) → C16BinomialDist(n, p, B17, false) → C17BinomialDist(n, p, B18, false) → C18BinomialDist(n, p, B19, false) → C19BinomialDist(n, p, B20, false) → C20BinomialDist(n, p, B21, false) → C21BinomialDist(n, p, B22, false) → C22BinomialDist(n, p, B23, false) → C23BinomialDist(n, p, B24, false) → C24BinomialDist(n, p, B25, false) → C25BinomialDist(n, p, B26, false) → C26BinomialDist(n, p, B27, false) → C27BinomialDist(n, p, B28, false) → C28BinomialDist(n, p, B29, false) → C29BinomialDist(n, p, B30, false) → C30BinomialDist(n, p, B31, false) → C31BinomialDist(n, p, B32, false) → C32BinomialDist(n, p, B33, false) → C33BinomialDist(n, p, B34, false) → C34BinomialDist(n, p, B35, false) → C35BinomialDist(n, p, B36, false) → C36BinomialDist(n, p, B37, false) → C37BinomialDist(n, p, B38, false) → C38BinomialDist(n, p, B39, false) → C39BinomialDist(n, p, B40, false) → C40BinomialDist(n, p, B41, false) → C41BinomialDist(n, p, B42, false) → C42BinomialDist(n, p, B43, false) → C43BinomialDist(n, p, B44, false) → C44BinomialDist(n, p, B45, false) → C45BinomialDist(n, p, B46, false) → C46BinomialDist(n, p, B47, false) → C47BinomialDist(n, p, B48, false) → C48BinomialDist(n, p, B49, false) → C49BinomialDist(n, p, B50, false) → C50BinomialDist(n, p, B51, false) → C51BinomialDist(n, p, B52, false) → C52BinomialDist(n, p, B53, false) → C53BinomialDist(n, p, B54, false) → C54BinomialDist(n, p, B55, false) → C55BinomialDist(n, p, B56, false) → C56BinomialDist(n, p, B57, false) → C57BinomialDist(n, p, B58, false) → C58BinomialDist(n, p, B59, false) → C59BinomialDist(n, p, B60, false) → C60BinomialDist(n, p, B61, false) → C61BinomialDist(n, p, B62, false) → C62BinomialDist(n, p, B63, false) → C63BinomialDist(n, p, B64, false) → C64BinomialDist(n, p, B65, false) → C65BinomialDist(n, p, B66, false) → C66BinomialDist(n, p, B67, false) → C67BinomialDist(n, p, B68, false) → C68BinomialDist(n, p, B69, false) → C69BinomialDist(n, p, B70, false) → C70BinomialDist(n, p, B71, false) → C71BinomialDist(n, p, B72, false) → C72BinomialDist(n, p, B73, false) → C73BinomialDist(n, p, B74, false) → C74BinomialDist(n, p, B75, false) → C75BinomialDist(n, p, B76, false) → C76BinomialDist(n, p, B77, false) → C77BinomialDist(n, p, B78, false) → C78BinomialDist(n, p, B79, false) → C79BinomialDist(n, p, B80, false) → C80BinomialDist(n, p, B81, false) → C81BinomialDist(n, p, B82, false) → C82BinomialDist(n, p, B83, false) → C83BinomialDist(n, p, B84, false) → C84BinomialDist(n, p, B85, false) → C85BinomialDist(n, p, B86, false) → C86BinomialDist(n, p, B87, false) → C87BinomialDist(n, p, B88, false) → C88BinomialDist(n, p, B89, false) → C89BinomialDist(n, p, B90, false) → C90BinomialDist(n, p, B91, false) → C91BinomialDist(n, p, B92, false) → C92BinomialDist(n, p, B93, false) → C93BinomialDist(n, p, B94, false) → C94BinomialDist(n, p, B95, false) → C95BinomialDist(n, p, B96, false) → C96BinomialDist(n, p, B97, false) → C97BinomialDist(n, p, B98, false) → C98BinomialDist(n, p, B99, false) → C99BinomialDist(n, p, B100, false) → C100BinomialDist(n, p, B101, false) → C101BinomialDist(n, p, B102, false) → C102BinomialDist(n, p, B103, false) → C103BinomialDist(n, p, B104, false) → C104BinomialDist(n, p, B105, false) → C105BinomialDist(n, p, B106, false) → C106BinomialDist(n, p, B107, false) → C107BinomialDist(n, p, B108, false) → C108Histogram(list1, list2) → aPoisson(λ, false) → hNormal((n * p), sqrt((n * (p * (1 - p)))), x) → jNormal(λ, sqrt(λ), x) → k
AI Drawing Prompt Reference
Create a chart comparing the binomial and Poisson distributions in relation to the normal curve. Include multiple histograms of binomial distributions, along with corresponding Poisson and normal distribution curves. Set parameters n (number of trials) and p (probability of success) to observe how the distributions relate and change. Start by plotting the basic binomial histograms, then overlay the Poisson and normal curves for a comparative display on the same coordinate system.
The prompt above was compiled from the original drawing commands and is for reference only.