## Formula generator for HYPGEOM.DIST FUNCTION function

The HYPGEOM.DIST function calculates the probability of drawing a specific number of successes from a finite population without replacement. It takes the number of successes, the number of draws, the number of successes in the population, and the population size as inputs.

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## HYPGEOM.DIST FUNCTION formula syntax

The HYPGEOM.DIST function in Excel calculates the probability of a specific number of successes in a fixed number of trials, given a population size and a sample size. The syntax for HYPGEOM.DIST is as follows: HYPGEOM.DIST(x, N, M, n, cumulative) - x: The number of successes you want to calculate the probability for. - N: The population size. - M: The number of successes in the population. - n: The sample size. - cumulative: A logical value that determines whether to calculate the cumulative probability (TRUE) or the probability mass function (FALSE). Note: The values for x, N, M, and n must be non-negative integers, and N, M, and n must be greater than or equal to x. The HYPGEOM.DIST function returns the probability of getting exactly x successes (if cumulative is set to FALSE) or the probability of getting x or fewer successes (if cumulative is set to TRUE).

## Use Cases & Examples

In these use cases, we use the HYPGEOM.DIST formula to calculate the probability of a specific number of successes in a given population, based on a hypergeometric distribution.

## Calculating Probability of Drawing a Specific Number of Successes

### Description

In this use case, we use the HYPGEOM.DIST function to calculate the probability of drawing a specific number of successes from a finite population without replacement. The function takes the number of successes, the number of draws, the number of successes in the population, and the population size as inputs.

### Result

HYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)

## Estimating the Number of Successes in a Sample

### Description

In this use case, we use the HYPGEOM.DIST function to estimate the number of successes in a sample drawn from a finite population without replacement. By varying the number of successes in the population and the population size, we can analyze different scenarios and make informed decisions.

### Result

HYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)

## Analyzing the Probability Distribution of Successes

### Description

In this use case, we use the HYPGEOM.DIST function to analyze the probability distribution of successes in a finite population without replacement. By calculating the probabilities for different numbers of successes, we can gain insights into the likelihood of achieving specific outcomes.

### Result

HYPGEOM.DIST(num_successes, num_draws, successes_in_pop, pop_size)

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