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Probability
Probability
Binomial Probability LFS
The probability of an event can be expressed as a binomial probability if its outcomes can be broken down into two probabilities p and q, where p and q are complementary (i.e. p + q = 1) For example, tossing a coin can be either heads or tails, each which have a (theoretical) probability of 0.5. Rolling a four on a six-sided die can be expressed as the probability (1/6) of getting a 4 or the probability (5/6) of rolling something else. Wikipedia
InterActive Graph of the PDF (Probability Distribution Function) and CDF (Cumulative Distribution Function) of a Binomial Probability
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Use Online
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Download GeoGebra file (filename: binprob_pdf_cdf.ggb)
Keywords: probability, binomial probability, pdf, cdf
Resource by Linda Fahlberg-Stojanovska
Related topics: Statistics
