
Calculate the probability of getting exactly, at least, or at most k heads in n flips
Powered by binomial probability · Statistics Tools
User Ratings:
ADVERTISEMENT
ADVERTISEMENT
How many heads will show up if you flip a coin ten times? The answer isn’t just “about five” it’s a distribution of possibilities, each with its own probability. And when you’re looking for exactly five heads, the chance is surprisingly specific. When you want “at least five” or “at most five,” the probabilities change dramatically. This is the binomial distribution at work, and it’s the foundation of probability calculations for any experiment with two outcomes.
This coin flip probability calculator applies the binomial distribution to your specific scenario. Enter the number of flips, the target number of heads, and the coin’s probability of heads, the tool computes the chance of success for exactly, at least, and at most k heads, shows the “1 in” odds, and displays a visual distribution chart. Whether you’re a statistics student learning about binomial distributions, a gambler analyzing odds, or a curious mind exploring probability, this calculator delivers accurate results instantly. All calculations run locally in your browser, keeping your data private.
Choose what you want to calculate “exactly,” “at least,” or “at most” using the radio buttons.
Enter the total number of coin flips (n) using the first input field.
Enter the target number of heads (k) the specific outcome you’re interested in.
Adjust the probability of heads (p) using the slider or type a value directly — the default is 0.5 for a fair coin.
Click the “Fair coin” button to instantly reset the probability to 0.5.
Review the probability of success, the “1 in” odds, and the distribution chart.
Check the extra statistics: exact, at least, and at most probabilities for comparison.
The calculator applies the binomial probability formula, which gives the probability of getting exactly k successes in n independent trials, where each trial has probability p of success.
Formula: P(X = k) = C(n,k) × p^k × (1 − p)^(n−k)
Where C(n,k) is the binomial coefficient (the number of ways to choose k successes from n trials), p is the probability of success on each trial, and (1 − p) is the probability of failure.
The calculator also computes cumulative probabilities:
Formula: P(X ≥ k) = Σᵢ₌ₖⁿ P(X = i)
This is the probability of getting at least k successes — the sum of all individual probabilities from k to n.
Formula: P(X ≤ k) = Σᵢ₌₀ᵏ P(X = i)
This is the probability of getting at most k successes — the sum of all individual probabilities from 0 to k.
All computations use precise arithmetic and are validated to handle edge cases like p = 0 or p = 1.
Consider flipping a fair coin 10 times. What’s the probability of getting exactly 5 heads?
Step 1: Identify the known values
n = 10 flips
k = 5 heads
p = 0.5 (fair coin)
Step 2: Calculate the binomial coefficient
C(10,5) = 10! / (5! × 5!) = 252
Step 3: Apply the formula
P(X = 5) = 252 × 0.5⁵ × 0.5⁵ = 252 × 0.03125 × 0.03125 = 252 × 0.0009765625 = 0.24609375
Step 4: Convert to percentage and odds
Probability = 24.61%
1 in = 1 / 0.24609375 ≈ 4.06
Step 5: Check other scenarios
At least 5 heads: P(X ≥ 5) = 62.30%
At most 5 heads: P(X ≤ 5) = 62.30%
Interpretation: In a set of 10 coin flips, the chance of getting exactly 5 heads is about 24.6% about 1 in 4. The chance of getting at least 5 heads is about 62.3%. The distribution is symmetric for a fair coin, so P(X ≥ 5) = P(X ≤ 5).
The probability of getting exactly 5 heads in 10 flips with a fair coin is 24.61%. This is calculated using the binomial distribution formula: C(10,5) × 0.5⁵ × 0.5⁵ = 0.2461.
The probability of getting at least 5 heads in 10 flips with a fair coin is 62.30%. This is the sum of the probabilities for 5 through 10 heads.
The probability of getting at most 5 heads in 10 flips with a fair coin is 62.30%. For a fair coin, this is equal to the probability of at least 5 heads.
Increasing the number of flips makes the distribution narrower and more peaked around the expected value. The probability of any single outcome decreases, but the distribution becomes more concentrated. For large n, the binomial distribution approximates a normal distribution.
“1 in” is the odds representation of the probability. It’s calculated as 1 divided by the probability. For example, a probability of 0.246 is about “1 in 4” you’d expect the event to occur about once every 4 tries.
Yes, the calculator supports any probability of heads from 0 to 1. Enter your desired p value using the slider or type it directly. The distribution adjusts automatically.
“Exactly” is the probability of getting a specific number of heads. “At least” is the probability of getting that number or more. “At most” is the probability of getting that number or fewer. They answer different questions about the outcome.
The binomial distribution is used to model the number of successes in a fixed number of independent trials with two outcomes. It’s used in quality control, medicine, gambling, finance, and many other fields where you’re counting successes in repeated trials.
ADVERTISEMENT
ADVERTISEMENT