Standard Deviation Calculator
Measure how spread out values are around the mean.
Formula: √(Σ(x − mean)² ÷ n)Phase 10.2
Statistics calculators for spread, probability, samples, distributions, confidence intervals, regression, research planning, and random generation. Each tool explains the formula and what the result means.
Phase 10.2 calculators are designed for educational use. They help learners understand formulas, avoid common interpretation mistakes, and move from a statistical result to a sensible next learning step.
Measure how spread out values are around the mean.
Formula: √(Σ(x − mean)² ÷ n)Measure average squared distance from the mean.
Formula: Σ(x − mean)² ÷ nEstimate the chance of an event as a percent.
Formula: Favorable outcomes ÷ Total outcomesCount ordered arrangements when order matters.
Formula: n! ÷ (n − r)!Count selections when order does not matter.
Formula: n! ÷ (r! × (n − r)!)Find how many standard deviations a value is from the mean.
Formula: (x − mean) ÷ standard deviationEstimate a range around a sample mean.
Formula: Mean ± z × (SD ÷ √n)Measure the strength and direction of a linear relationship.
Formula: Pearson rEstimate a simple linear trend line from paired values.
Formula: y = mx + bEstimate how many responses are needed for a basic proportion study.
Formula: (z² × p × (1 − p)) ÷ e²Estimate uncertainty for a sample proportion.
Formula: z × √(p(1 − p) ÷ n)Place a value inside a normal distribution.
Formula: z = (x − μ) ÷ σEstimate probability of a number of successes across repeated trials.
Formula: C(n,k) × p^k × (1 − p)^(n − k)Compare observed counts with expected counts.
Formula: Σ((Observed − Expected)² ÷ Expected)Estimate a two-sample t statistic for comparing means.
Formula: (Mean1 − Mean2) ÷ √(s1²/n1 + s2²/n2)Estimate a rough two-tailed p-value from a z-like statistic.
Formula: Approximation from z-scoreGenerate a random whole number in a chosen range.
Formula: Random integer between min and maxGenerate a list of random whole numbers.
Formula: Random integers between min and maxSplit a data set into lower, middle, and upper quarters.
Formula: Q1, Q2, Q3 from sorted valuesFind a value at a selected percentile in a sorted data set.
Formula: Rank position = p ÷ 100 × (n − 1)Tell us what you need. The assistant will suggest the clearest place to start.