Pascal's triangle and Unimodality

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Pascal's triangle and Unimodality

Pascal's triangle vs. Unimodality

In mathematics, Pascal's triangle is a triangular array of the binomial coefficients. In mathematics, unimodality means possessing a unique mode.

Similarities between Pascal's triangle and Unimodality

Pascal's triangle and Unimodality have 3 things in common (in Unionpedia): Binomial distribution, Mathematics, Normal distribution.

Binomial distribution

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: a random variable containing a single bit of information: success/yes/true/one (with probability p) or failure/no/false/zero (with probability q.

Binomial distribution and Pascal's triangle · Binomial distribution and Unimodality · See more »

Mathematics

Mathematics (from Greek μάθημα máthēma, "knowledge, study, learning") is the study of such topics as quantity, structure, space, and change.

Mathematics and Pascal's triangle · Mathematics and Unimodality · See more »

Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

Normal distribution and Pascal's triangle · Normal distribution and Unimodality · See more »

The list above answers the following questions

What Pascal's triangle and Unimodality have in common
What are the similarities between Pascal's triangle and Unimodality

Pascal's triangle and Unimodality Comparison

Pascal's triangle has 118 relations, while Unimodality has 42. As they have in common 3, the Jaccard index is 1.88% = 3 / (118 + 42).

References

This article shows the relationship between Pascal's triangle and Unimodality. To access each article from which the information was extracted, please visit:

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