Hypergeometric Distribution Calculator
Calculate probabilities and percentiles for a hypergeometric distribution.
Frequently Asked Questions (FAQs):
- What is a hypergeometric distribution, and why is it important?
- A hypergeometric distribution models the probabilities of drawing specific items from a finite population without replacement. It's crucial in statistics when dealing with scenarios involving sampling without replacement, such as drawing cards from a deck.
- What is the formula for calculating hypergeometric distribution probabilities?
- The formula for calculating the probability of observing k successes in a sample of size n, drawn from a population of size N with K successes, in a hypergeometric distribution, is:
- Where N is the total population size, K is the number of successes in the population, n is the sample size, and k is the number of observed successes in the sample.
- How do I interpret hypergeometric distribution probabilities?
- Hypergeometric distribution probabilities represent the likelihood of obtaining a specific number of successes in a sample drawn without replacement from a finite population. It's particularly useful in cases where the sample size is small relative to the population.