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Symmetric probability distribution and Unimodality

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

Difference between Symmetric probability distribution and Unimodality

Symmetric probability distribution vs. Unimodality

In statistics, a symmetric probability distribution is a probability distribution—an assignment of probabilities to possible occurrences—which is unchanged when its probability density function or probability mass function is reflected around a vertical line at some value of the random variable represented by the distribution. In mathematics, unimodality means possessing a unique mode.

Similarities between Symmetric probability distribution and Unimodality

Symmetric probability distribution and Unimodality have 10 things in common (in Unionpedia): Cauchy distribution, Mode (statistics), Normal distribution, Probability distribution, Probability mass function, Skewness, Statistics, Student's t-distribution, Uniform distribution (continuous), Unimodality.

Cauchy distribution

The Cauchy distribution, named after Augustin Cauchy, is a continuous probability distribution.

Cauchy distribution and Symmetric probability distribution · Cauchy distribution and Unimodality · See more »

Mode (statistics)

The mode of a set of data values is the value that appears most often.

Mode (statistics) and Symmetric probability distribution · Mode (statistics) 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 Symmetric probability distribution · Normal distribution and Unimodality · See more »

Probability distribution

In probability theory and statistics, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment.

Probability distribution and Symmetric probability distribution · Probability distribution and Unimodality · See more »

Probability mass function

In probability and statistics, a probability mass function (pmf) is a function that gives the probability that a discrete random variable is exactly equal to some value.

Probability mass function and Symmetric probability distribution · Probability mass function and Unimodality · See more »

Skewness

In probability theory and statistics, skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean.

Skewness and Symmetric probability distribution · Skewness and Unimodality · See more »

Statistics

Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation, and organization of data.

Statistics and Symmetric probability distribution · Statistics and Unimodality · See more »

Student's t-distribution

In probability and statistics, Student's t-distribution (or simply the t-distribution) is any member of a family of continuous probability distributions that arises when estimating the mean of a normally distributed population in situations where the sample size is small and population standard deviation is unknown.

Student's t-distribution and Symmetric probability distribution · Student's t-distribution and Unimodality · See more »

Uniform distribution (continuous)

In probability theory and statistics, the continuous uniform distribution or rectangular distribution is a family of symmetric probability distributions such that for each member of the family, all intervals of the same length on the distribution's support are equally probable.

Symmetric probability distribution and Uniform distribution (continuous) · Uniform distribution (continuous) and Unimodality · See more »

Unimodality

In mathematics, unimodality means possessing a unique mode.

Symmetric probability distribution and Unimodality · Unimodality and Unimodality · See more »

The list above answers the following questions

Symmetric probability distribution and Unimodality Comparison

Symmetric probability distribution has 38 relations, while Unimodality has 42. As they have in common 10, the Jaccard index is 12.50% = 10 / (38 + 42).

References

This article shows the relationship between Symmetric probability distribution and Unimodality. To access each article from which the information was extracted, please visit:

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