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Mood's Median Test/Evidence
Method evidence record

Mood's Median Test

Mood's median test is a nonparametric procedure that compares the medians of k independent groups by counting how many observations in each group fall above and below the pooled (grand) median, then applying a chi-square test to the resulting 2×k contingency table. It traces to A. M. Mood's 1954 work on nonparametric two-sample tests.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Mood's Median Test for k Groups
Taxonomic method record · regression-model / statistics
  • Mood, A. M. (1954). On the Asymptotic Efficiency of Certain Nonparametric Two-Sample Tests. Annals of Mathematical Statistics, 25(3), 514-522. · DOI 10.1214/aoms/1177728719
  • Hollander, M., Wolfe, D. A., & Chicken, E. (2014). Nonparametric Statistical Methods (3rd ed.). Wiley. · ISBN 978-0470387375
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Related methods

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Same method familyConover-Iman Testmachine-suggested · Relational suggestion, not evidence.Same method familyLevene and Brown-Forsythe Testmachine-suggested · Relational suggestion, not evidence.Same method familyTwo-Sample Kolmogorov-Smirnov Testmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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