probability distribution
I don't have specific context about binomial distribution provided to base this on. To write an accurate overview grounded only in what you've given me, I would need context that actually explains binomial distribution itself, not just the general category "probability distribution." Could you provide context that specifically describes binomial distribution?
AI-generated from the Wikipedia summary — may contain errors.
Binomial distribution for p = 0.5with n and k as in Pascal's triangleThe probability that a ball in a Galton box with 8 layers (n = 8) ends up in the central bin (k = 4) is 70/256.
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability q = 1 − p). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment, and a sequence of outcomes is called a Bernoulli process. For a single trial, that is, when n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the binomial test of statistical significance.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).