Linked from

The 12 pages that link to Bernoulli trial, each with the reason it gives.

• Binomial coefficientNarrower topic: A sequence of these trials has \(\binom{n}{k}\) outcome patterns with exactly \(k\) successes.

• Binomial distributionBroader topic: Each trial in a binomial experiment is a Bernoulli trial.

• Event (probability theory)Broader topic: Its success event is a basic example with a single assigned probability.

• Geometric distributionNarrower topic: The distribution models the waiting time across repeated Bernoulli trials with a fixed success chance.

• Pascal's triangleRelated: Repeated trials produce binomial probabilities whose coefficients come from the triangle.

• Bernoulli distributionRelated: A Bernoulli trial produces one observation governed by the distribution.

• Jacob BernoulliBroader topic: Repeated trials of this kind form the setting for his limit theorem.

• Negative binomial distributionNarrower topic: Each independent trial supplies one success or failure in the sequence being counted.

• Thomas BayesBroader topic: Bayes’s essay considers repeated trials as evidence about an unknown chance of success.

• Bernoulli familyCompared with: The term honors Jacob but names a basic probability experiment, not a historical person.

• Discrete uniform distributionCompared with: A Bernoulli variable has only two possible values, while uniform distributions can span larger finite sets.

• De Moivre–Laplace theoremBroader topic: A binomial count sums the outcomes of independent Bernoulli trials.