Barely Significant
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“only marginally significant”

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Sighted at

p<1.0p=0.9

Listed by Hankins, posted since · Hankins (2013) · Otte et al. (2022)

In the literature

While this does not negate the ANOVA result, the discrepancy may stem from several factors: insufficient power in post-hoc tests due to having too few observations per group; a high number of comparisons, which increases the chance of Type I errors (false positives); the ANOVA result being only marginally significant (ie, a P -value close to .05); and some post-hoc tests requiring stronger evidence to declare significance. 47 In this study, while the Semi-Urban & Rural and Urban LGA groups had few observations, the total number of toilets showed marginal significance ( P = .033).