null hypothesis concept
| Definition | The statement that the effect under study is absent, under which a test statistic's p-value is computed. A null model is its simulated form. Primer S, equation S.15. |
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| Example | For two groups the null says the labels carry no information, so every reassignment of the labels is as likely as the observed one. |
| Book | Data Mining as Observation, draft 0.2, commit f3914f0; entry id null-hypothesis, kind concept. |
| Status | no ledger row names this entry. Corrections: none recorded. |
| Defining equation | none |
| Assumptions and scope | none |
| Prior art | none recorded |
| Evidence | none |
| Reviewed | semantic review 2026-09-09; generated 2026-09-10 from records at the commits on the provenance page. |
Equation
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Conditions
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Ledger
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First stated
Primer S section S.7 of Data Mining as Observation, added in draft 0.3 (2026-09-09) for the ECE 514 readers whose first courses are far behind. The idea is standard and TSK Appendix C covers it at length.
Measurements
none
Failures and corrections
none
Invariance envelope
none declared
Machine checked
none
Used in
Data Mining as Observation primer S.
Related
null model; p-value; test statistic; permutation test.
See also
Book equations stated beside the entry’s terms, not defining it: S.15.
Status
Generated 2026-09-10 by encyclopedia/generate.py; book
at observation-data-mining f3914f0; the commit of every record is listed
in the encyclopedia’s provenance.