16 calculators

Statistics & Probability Calculators

Perform rigorous statistical analysis and hypothesis testing. Calnora’s 16 statistical calculators evaluate central tendency, standard deviation, sample size requirements, probability distributions (Normal, Binomial, Poisson), linear regressions, and inferential tests (t-tests, Chi-square, Cohen’s d effect size) for researchers, data scientists, and students.

16 inferential and descriptive statistical solvers
One-tailed and two-tailed p-value distributions
Standard deviation, variance, and interquartile range (IQR)
Sample size and margin of error survey modeling

Available calculators in Statistics & Probability (16)

FeaturedStatistics & Probability

Probability & Bayes Calculator

Calculate single event odds, union (A or B), intersection (A and B), and conditional Bayesian probabilities.

probability • bayes theorem • conditional probabilityOpen
Statistics & Probability

Normal Distribution (Z-Score)

Compute standard normal distribution Z-scores, percentiles, left/right tail probabilities, and P-values.

z-score • normal distribution • bell curveOpen
FeaturedStatistics & Probability

Descriptive Statistics

Compute mean, median, mode, sample/population standard deviation, variance, range, and IQR.

mean • median • modeOpen
Statistics & Probability

Permutations & Combinations (nPr & nCr)

Calculate permutations (order matters) and combinations (order does not matter) with step formulas.

permutations • combinations • nprOpen
Statistics & Probability

Sample Size Calculator

Determine statistically representative sample sizes for surveys based on confidence level and margin of error.

sample size • survey • margin of errorOpen
Statistics & Probability

Pearson Correlation Coefficient

Calculate Pearson's r, covariance, and linear relationship strength between paired datasets.

pearson correlation • covariance • linear regressionOpen
Statistics & Probability

Confidence Interval

Mean confidence interval from sample size, standard deviation, and z critical value.

confidence interval • standard error • zOpen
Statistics & Probability

Linear Regression

Least-squares slope, intercept, r, and R² from paired X/Y lists.

linear regression • slope • interceptOpen
Statistics & Probability

Margin of Error

Survey margin of error for a sample proportion at 90/95/99% confidence.

margin of error • poll • surveyOpen
FeaturedStatistics & Probability

P-Value Calculator

Calculate one-tailed and two-tailed p-values for Z, t, and Chi-Square tests.

p-value • z test • t testOpen
Statistics & Probability

Two-Sample T-Test

Compare two independent sample groups, calculate t-statistic, df, and p-value.

t-test • student t • two sampleOpen
Statistics & Probability

Chi-Square Test

Chi-square goodness-of-fit test comparing observed versus expected counts.

chi square • goodness of fit • independenceOpen
Statistics & Probability

Binomial Distribution

Exact probability P(X=k), cumulative CDF P(X≤k), mean, and variance for n trials.

binomial • n trials • success probabilityOpen
Statistics & Probability

Poisson Distribution

Calculate Poisson probability P(X=k) and cumulative CDF for average rate λ.

poisson • lambda • rare eventsOpen
Statistics & Probability

Percentile & Quartile Calculator

Find custom percentiles, quartiles Q1/Q2/Q3, and interquartile range (IQR).

percentile • quartile • IQROpen
Statistics & Probability

Cohen's d Effect Size

Calculate standardized mean difference effect size between two groups.

cohens d • effect size • standardized mean differenceOpen

Frequently Asked Questions — Statistics & Probability

What is the difference between sample and population standard deviation?

Sample standard deviation divides the sum of squared differences by (n - 1) using Bessel’s correction, while population standard deviation divides by N.

When should I use a two-sample t-test versus a z-test?

Use a two-sample t-test when population standard deviations are unknown and sample sizes are small to moderate; use a z-test when population variances are known or sample sizes are very large.