Hypergeometric meaning

Hypergeometric refers to a distribution where the probability of an event is calculated based on specific characteristics of a sample drawn from a population.


Hypergeometric definitions

Word backwards cirtemoegrepyh
Part of speech The word "hypergeometric" is an adjective.
Syllabic division hy-per-ge-o-met-ric
Plural The plural of hypergeometric is hypergeometrics.
Total letters 14
Vogais (3) e,o,i
Consonants (8) h,y,p,r,g,m,t,c

The hypergeometric distribution is a probability distribution that describes the number of successes in a sequence of samples without replacement. It is often used in statistical analysis to calculate the probability of drawing a certain number of items of interest from a finite population without replacement.

When using the hypergeometric distribution, it is important to consider the population size, the number of successes in the population, the sample size, and the number of successes in the sample. These parameters are crucial in determining the likelihood of obtaining a specific number of successes in a given sample.

Hypergeometric Function

The hypergeometric distribution is closely related to the hypergeometric function, which is a special function defined by an integral. This mathematical function plays a key role in various areas of mathematics, including combinatorics, probability theory, and mathematical physics.

Applications in Biology

The hypergeometric distribution is commonly used in biology to analyze genetic data, such as the distribution of different genetic variants in a population. By applying the hypergeometric distribution, researchers can determine the probability of observing a certain number of individuals with a specific genetic trait in a given sample.

Relationship to Other Distributions

The hypergeometric distribution is related to other well-known distributions, such as the binomial distribution and the multinomial distribution. While the binomial distribution describes the number of successes in a fixed number of trials with replacement, the hypergeometric distribution deals with sampling without replacement.

In summary, the hypergeometric distribution is a valuable tool in statistics and probability theory, providing insights into the likelihood of obtaining a certain number of successes in a sample drawn from a finite population. By understanding its characteristics and applications, researchers can make informed decisions and draw meaningful conclusions from their data.


Hypergeometric Examples

  1. The hypergeometric distribution is used in statistics to calculate probabilities of drawing a certain number of successes from a fixed population without replacement.
  2. Researchers used a hypergeometric test to analyze the overlap of two gene sets in a biological study.
  3. The hypergeometric function is a special mathematical function that arises in various fields of physics and engineering.
  4. In genetics, hypergeometric enrichment analysis is used to identify functional categories that are overrepresented in a list of genes.
  5. A hypergeometric series is a mathematical series that converges for certain values of its parameters.
  6. By applying a hypergeometric model, scientists can study the distribution of alleles in a population.
  7. Hypergeometric optimization algorithms are commonly used in machine learning to find optimal solutions to problems.
  8. The hypergeometric test is used in bioinformatics to determine if a set of genes is associated with a specific biological function.
  9. Hypergeometric identities provide a way to express complicated mathematical relationships in a simpler form.
  10. In probability theory, the hypergeometric mean is a measure of the central tendency of a hypergeometric distribution.


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  • Updated 12/05/2024 - 20:20:23