Binomial Probability Calculator
Binomial probabilities, exact and cumulative.
Paste a set of numbers and get the summary statistics, with the working behind each one. 13 free tools, no sign-up, and they run in your browser.
Averages, spread, z-scores, confidence intervals and sample sizes.
Binomial probabilities, exact and cumulative.
Confidence intervals for a mean or a proportion.
Pearson correlation coefficient and r squared.
Least squares line with slope, intercept and r squared.
Margin of error for a survey or poll result.
Mean, median, mode, range and quartiles of a data set.
Percentiles, quartiles and the percentile rank of a value.
nPr and nCr with the factorials shown, and the rule for choosing between them.
Probability of events happening together, either one, or not at all.
Required sample size for a margin of error.
Standard deviation, variance, mean, median and quartiles from any list.
Sample and population variance with the full working.
Z-score with percentile and tail probabilities.
Descriptive statistics are quick to compute and easy to misread. The mean of a skewed set says less than the median; a standard deviation means nothing without knowing whether the data is a sample or a population; a confidence interval is not the probability that the true value sits inside it. These calculators give the figures and are explicit about which assumption each one rests on.
Start with the mean, median and mode calculator for the centre, and the standard deviation calculator or variance calculator for the spread. All three accept numbers separated by commas, spaces, tabs or new lines, so pasting a column out of a spreadsheet works without reformatting. The sample-versus-population choice divides by n-1 or n respectively; sample is the right answer in nearly every real case.
A z-score places one value within a distribution and is the basis of most "is this unusual?" questions. The confidence interval calculator and the margin of error calculator put bounds on an estimate, and the sample size calculator tells you how many responses you need before the bounds are narrow enough to be worth reporting.
The correlation coefficient calculator measures how tightly two sets move together, and the linear regression calculator fits the line and gives its slope, intercept and r-squared. Both come with the same warning, which is worth repeating because it is ignored so often: a strong correlation is not evidence that one thing causes the other.
Every tool in this category, in alphabetical order.
Sample, unless your numbers genuinely are every member of the group you care about. Sample divides by n-1, which corrects the bias you get from estimating a population from part of it.
Any of the usual ones. Commas, spaces, tabs, semicolons and new lines all work, so a column copied from a spreadsheet can be pasted straight in.
No. It means the two sets move together in the data you have. The cause could run either way, or both could follow something else entirely.
That if you repeated the same sampling many times, about 95% of the intervals produced would contain the true value. It is not a 95% probability that this particular interval does.
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