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Calculate the probability of drawing a specific number of successes from a finite population without replacement.
What is the Hypergeometric Distribution?
The Hypergeometric Distribution describes the probability of drawing a specific number of successes from a finite population without replacement. It is commonly used in situations like quality control, lottery draws, and genetics, where items or subjects are not replaced after selection.
How to calculate the Hypergeometric Distribution?
The Hypergeometric Distribution is calculated by dividing the product of combinations for successes and failures by the total combinations. The formula is:
P(X = k) = (C(K, k) * C(N - K, n - k)) / C(N, n)
where:
What are combinations?
Combinations are a way of counting how many different groups can be formed from a set without regard to the order. The combination formula is:
C(n, r) = n! / (r! * (n - r)!)
where n! represents the factorial of n, which is the product of all integers from n to 1.
How to calculate combinations?
To calculate combinations, use the formula given above. For example, if you want to know how many different groups of 3 people can be formed from a set of 10, you would use the combination formula:
C(10, 3) = 10 × 9 × 8 / (3 × 2 × 1)
resulting in a total of 120 possible combinations.
The Hypergeometric Distribution is used when you are sampling from a finite population without replacement. It applies in scenarios like quality control (e.g., defective vs. non-defective items in a batch), genetics (e.g., drawing specific gene types from a population), and lottery systems.
The key difference is that in the Binomial Distribution, the probability of success remains constant because the sampling is done with replacement. In contrast, the Hypergeometric Distribution involves sampling without replacement, causing the probability to change after each draw.
Yes! Our Hypergeometric Distribution Calculator automates the process for you, so you don’t need to manually calculate combinations and probabilities.
If the sample size is significantly smaller than the population (e.g., less than 5% of the population), the Hypergeometric Distribution closely approximates the Binomial Distribution.
Follow these steps to calculate probabilities easily:
The calculator will instantly provide the probability of drawing k successes in the sample.
A company produces a batch of 100 items, where 10 are defective. If a quality inspector randomly selects 5 items for testing, what is the probability that exactly 2 of them are defective?
Given:
Using the formula:
P(X = 2) = (C(10,2) * C(90,3)) / C(100,5)
The probability can be computed directly using the calculator.
A lottery contains 50 balls, where 5 are winning numbers. If a player selects 6 balls at random, what is the probability of selecting exactly 1 winning ball?
Given:
Using the formula:
P(X = 1) = (C(5,1) * C(45,5)) / C(50,6)
The probability can be computed instantly using our online tool.
The Hypergeometric Distribution is an essential probability model used in various real-world applications, including quality control, genetics, and lotteries. Instead of manually calculating complex probabilities, use our Hypergeometric Calculator for instant results!