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Statistics · Formula sheet

Statistics formulas

One printable sheet for 11 Statistics tools — formulas collected from each calculator’s How it works.

Statistics calculators →

Average Calculator

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\[ \bar{x} = \frac{1}{n}\sum_{i=1}^{n} x_i \]

Add every number in the list, then divide by the count.

Coefficient of Variation Calculator

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\[ CV=\frac{s}{\bar x}\times 100 \]

Enter Standard deviation and Mean for the Coefficient of Variation Calculator; use finite values in the indicated domain. The calculator reports CV: Coefficient of variation is the relative spread of a distribution. Mean must be nonzero, and CV is most meaningful on a ratio scale with a positive mean.

Confidence Interval Calculator

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\[ \bar x \pm z\frac{s}{\sqrt n} \]

Enter Sample mean, Sample SD, Sample size, and z (1.96≈95%) for the Confidence Interval Calculator; use Sample size greater than zero and interpret z (1.96≈95%) as a z-score. The calculator reports Margin of error, Lower, and Upper: Approximate CI for a mean with known z and sample SD. The interval uses a z approximation, so small or nonrepresentative samples need extra care.

Correlation Calculator

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\[ r=\frac{n\sum xy-\sum x\sum y}{\sqrt{(n\sum x^{2}-(\sum x)^{2})(n\sum y^{2}-(\sum y)^{2})}} \]

Pair rows, form sums, then apply Pearson r.

Linear Regression Calculator

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\[ m=\frac{n\sum xy-\sum x\sum y}{n\sum x^{2}-(\sum x)^{2}} \]

Pair rows, form sums, then solve for slope and intercept.

Mean Median Mode Calculator

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\[ \bar{x} = \frac{1}{n}\sum x_i \]

Mean: sum divided by count.

P-value Calculator

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\[ z = \frac{\bar{x} - \mu_0}{\sigma / \sqrt{n}} \]

Compute the z-statistic from the sample mean, hypothesized mean, σ, and n.

\[ p = 2\bigl(1 - \Phi(|z|)\bigr) \]

Two-tailed p-value from the standard normal tail.

Percentile Rank Calculator

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\[ PR=\frac{b+0.5e}{n}\times 100 \]

Enter Count below, Count at score, and Total n for the Percentile Rank Calculator; use finite values in the indicated domain. The calculator reports Percentile rank: Approximate percentile rank using counts below and equal to a score. Total n must be positive and at least as large as the supplied counts.

Sample Size Calculator

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\[ n=\frac{z^{2}p(1-p)}{e^{2}} \]

Enter Expected proportion (%), Margin of error (%), and z for the Sample Size Calculator; enter percentage fields as percentage points. The calculator reports Sample size n: n = z² p (1−p) / e² for a proportion. Expected proportion and Margin of error must be entered as percentages, with a positive margin.

Standard Deviation Calculator

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\[ s = \sqrt{\frac{1}{n-1}\sum (x_i - \bar{x})^2} \]

Compute the mean, then the root-mean-square deviation.

Z-score Calculator

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\[ z = \frac{x - \mu}{\sigma} \]

Subtract the mean and divide by the standard deviation.

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