From: A logical analysis of null hypothesis significance testing using popular terminology
Scenario | General Form | Comparing proportions (Chi-squared test) | Correlation |
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H0 and HA | H0: there is no finding in the population and the finding in the sample group is due to chance alone HA: it is not the case that H0, therefore HA: it is not the case that (there is no finding in the population and the finding in the sample group is due to chance alone) ≡ [(there is no finding in the population and the finding in the sample group is not due to chance alone) or (there is a finding in the population and the finding in the sample group is not due to the population finding alone) or (there is a finding in the population and the finding in the sample group is due to the population finding alone)] | H0: (p̂1 = p̂2) ∧ [(p1 ≠ p2) due to chance alone] HA: ¬H0, therefore HA: ¬{(p̂1 = p̂2) ∧ [(p1 ≠ p2) due to chance alone]} ≡ HA: ({(p̂1 = p̂2) ∧ [(p1 ≠ p2) not due to chance alone]} ∨ {(p̂1 ≠ p̂2) ∧ [(p1 ≠ p2) not due to (p̂1 ≠ p̂2) alone]} ∨ {(p̂1 ≠ p̂2) ∧ [(p1 ≠ p2) due to (p̂1 ≠ p̂2) alone]}) | H0: (ρ = 0) ∧ (r ≠ 0 due to chance alone) HA: ¬H0, therefore HA: ¬[(ρ = 0) ∧ (r ≠ 0 due to chance alone)] ≡ HA: ([(ρ = 0) ∧ (r ≠ 0 not due to chance alone)] ∨ {(ρ ≠ 0) ∧ [r ≠ 0 not due to (ρ ≠ 0) alone]} ∨ {(ρ ≠ 0) ʌ [r ≠ 0 due to (ρ ≠ 0) alone]}) |