Use this calculation to reproduce a defined quantitative method when the observations, units, sampling process, and assumptions match the method shown here.

P-values

Required list.

The cited overview of Statistics supplies background for the terminology and domain context used by this tool.^[1]

Adjust a family of p-values using the step-down Holm-Bonferroni procedure. Inputs are interpreted exactly in the displayed units and the calculation returns the following fields without presentation rounding.

Adjusted p-values

Returned list.

• A numerical result does not by itself establish data quality, causation, representativeness, independence, distributional fit, or practical significance.
• Use finite inputs in the displayed units, preserve source measurements and assumptions, and independently verify consequential decisions.

Inspect the underlying data, visualize its distribution, report uncertainty and sample size, and compare the result with a robust or domain-specific method where appropriate.

• Benjamini-Hochberg FDR Calculator

  Adjust p-values with the Benjamini-Hochberg false discovery rate procedure.

• Bonferroni Correction Calculator

  Apply the Bonferroni multiplier to one p-value and cap the adjusted value at one.

• Percentile Value Calculator

  Calculate the value at a percentile of a dataset using linear interpolation between closest ranks.