Binomial Probability Formula:
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The binomial probability between two numbers calculates the probability of getting between a and b successes (inclusive) in n independent trials, each with success probability p. It's fundamental in statistics for binary outcome scenarios.
The calculator uses the binomial probability formula:
Where:
Explanation: The formula sums the probabilities of all possible outcomes between a and b successes.
Details: This calculation is essential for hypothesis testing, quality control, and any scenario involving repeated independent trials with binary outcomes.
Tips: Enter positive integer for n (1-1000), probability p (0-1), and integers a and b between 0 and n with a ≤ b. Results are accurate to 6 decimal places.
Q1: What's the difference between this and exact binomial probability?
A: This calculates cumulative probability between two values, while exact probability is for a specific count.
Q2: When should I use normal approximation instead?
A: When n is large (typically >30) and p is not too close to 0 or 1, normal approximation may be simpler.
Q3: What if a = b?
A: The calculation reduces to the exact binomial probability for that specific value.
Q4: How accurate are the results?
A: Very accurate for n ≤ 1000. For larger n, numerical precision may become an issue.
Q5: Can I calculate one-tailed probabilities?
A: Yes, set a=0 for lower tail or b=n for upper tail probabilities.