Dixon's Q Test Calculator

Identify and reject statistical outliers

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About Dixon's Q Test Calculator

Dixon's Q test, or simply the Q test, is used for identification and rejection of outliers. This assumes normal distribution and per dean and dixon, and should be used sparingly and never more than once in a data set. This tool supports sample sizes from 3 to 10.

Dixon's Q Test Calculator Features

  • Supports small datasets (n=3 to 10)
  • Tests both highest and lowest suspect values
  • Built-in critical value lookups (90%, 95%, 99%)

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