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Binomial Confidence Interval Calculator
(last updated on 2011-03-27)
This tool calculates a set of confidence intervals for the entered binomial trial
result - the number of trials and the number of successes.
Researchers often want to know, after obtaining study results, how the same data
can be interpreted differently with different confidence levels, and hence different
confidence intervals. Sometimes, they also wish to know, before a study, what
are the possible conclusions based on different confidence levels assuming certain
outcome. This calculator can help them in this regard.
One-sided confidence intervals are particularly useful for reliability studies where
only the lower bound of the average reliability is concerned.
- The confidence intervals are calculated using the exact method. They are also called Clopper-Pearson intervals. They are the most conservative type because
they guarantee the coverage (i.e. the confidence level) for any population proportion.
The true coverage may be above the the confidence interval.
- The maximum of allowed N is 1000.
- It may take a moment to complete the calculation for a large N.
Confidence Interval -widely used,
rarely truly understood,
Binomial Confidence Interval and its
in reliability tests.