Data analysis & statistics kit

Score an A/B test for significance, fit a regression, weigh outcomes by probability, update a belief with Bayes, and put a confidence interval on the result.

research 12 items

9 hosted tools, 3 workflows

In this collection

• A/B Test Significance (two-proportion z-test)
  Conversion rates, lift, z-score, p-value and significance for two variants.hosted tool
• Linear Regression (least squares)
  Best-fit slope, intercept, r^2 and an optional prediction from paired x/y data.hosted tool
• Confidence Interval Calculator
  Confidence interval for a population mean or proportion given sample statistics.hosted tool
• Expected Value & Variance
  E[X], variance and standard deviation of a discrete distribution.hosted tool
• Normal Distribution Probability
  CDF, survival, z-score, and percentile queries for any normal distribution.hosted tool
• Percentile Calculator
  Value at a given percentile, or the percentile rank of a value, over a dataset.hosted tool
• Bayes' Theorem Calculator
  Posterior probability P(H|E) from a prior, true-positive rate and false-positive rate.hosted tool
• Descriptive Statistics Calculator
  Mean, median, min/max, range, variance and standard deviation of a number list.hosted tool
• Weighted Average Calculator
  Weighted mean, sum of weights, and effective contribution of each value.hosted tool
• Run an A/B test on a landing page
  Check whether a conversion-rate difference between two variants is statistically real, then bound and rank the results.workflow
• Fit a regression and check expected value
  Fit a trend line to a metric over time, compute the expected value of an outcome, then check its probability under a normal model.workflow
• Bayes-update a hypothesis from new evidence
  Update a prior belief with Bayes' theorem given new evidence, check the result under a normal model, then bound it with a CI.workflow