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Probability of N Successes in K Trials Calculator

Reviewed by Calculator Editorial Team

This calculator determines the probability of getting exactly n successes in k independent Bernoulli trials, where each trial has the same probability of success p. It's useful for analyzing binary outcomes in statistics, quality control, and probability theory.

What is Probability of n Successes in k Trials?

The probability of n successes in k trials refers to the likelihood of achieving exactly n successful outcomes in a series of k independent experiments, each with the same probability of success p. This concept is fundamental in probability theory and has applications in various fields including statistics, quality control, and gambling.

For example, if you flip a fair coin (where p = 0.5) 10 times, the probability of getting exactly 6 heads is calculated using the binomial probability formula.

How to Calculate Probability of n Successes in k Trials

To calculate the probability of exactly n successes in k trials, follow these steps:

  1. Determine the number of trials (k)
  2. Determine the number of desired successes (n)
  3. Determine the probability of success on a single trial (p)
  4. Calculate the number of combinations of k trials that result in exactly n successes
  5. Multiply the number of combinations by the probability of n successes and (1-p) for the remaining failures

The result is the probability of exactly n successes in k trials.

Probability Formula

Binomial Probability Formula

P(n successes in k trials) = C(k, n) × pⁿ × (1-p)ᵏ⁻ⁿ

Where:

  • C(k, n) = number of combinations of k items taken n at a time
  • p = probability of success on an individual trial

The combination formula C(k, n) is calculated as:

Combination Formula

C(k, n) = k! / (n! × (k-n)!)

Worked Example

Example Calculation

Suppose you flip a fair coin (p = 0.5) 10 times. What's the probability of getting exactly 6 heads?

  1. k = 10 (number of trials)
  2. n = 6 (desired number of successes)
  3. p = 0.5 (probability of success on each trial)
  4. C(10, 6) = 210 (number of combinations)
  5. P = 210 × (0.5)⁶ × (0.5)⁴ = 210 × 0.015625 × 0.0625 ≈ 0.2051 or 20.51%

The probability of getting exactly 6 heads in 10 coin flips is approximately 20.51%.

Frequently Asked Questions

What is the difference between probability of n successes and probability of at least n successes?
The probability of exactly n successes is calculated using the binomial formula. The probability of at least n successes would require summing the probabilities for n, n+1, ..., k successes.
Can this calculator be used for non-independent trials?
No, this calculator assumes independent trials. For dependent trials, more complex probability models would be needed.
What happens if p is not the same for all trials?
If the probability of success varies between trials, you would need to use a multinomial distribution rather than the binomial distribution.
How accurate are the results from this calculator?
The calculator uses standard binomial probability formulas and provides results with up to 4 decimal places of precision.
Can I use this calculator for continuous probability distributions?
No, this calculator is specifically designed for discrete binomial probability distributions.