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The statistical test performed was an unpaired t-test based on equal variance.
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T-tests were used to examine differences at the item or construct level between women who opted for BCS and those who opted for mastectomy; we report the results based on equal variances not assumed where Levene's test for equality of variances was found to be statistically significant.
‡The t-test was calculated based on equal variances.
This is what we might expect if individuals' decisions were often based on equal-variance normal distributions along the decision axis, with relatively little session-to-session variation.
Therefore, when discriminability is constant both across and within participants, we would expect the GEV model to provide the better fit if the decision process was based on equal-variance normal distributions.
The analysis was based on equal amount of cells and equal amount of RNA per cell.
A supplementary confirmation was proposed for these tests because, rigorously speaking, the ANOVA assumption on equal variance is slightly violated.
Statistical significance was determined based on students' t-test (unpaired, two tailed, equal variance).
The pooled variance or the Satterthwaite's method was used to estimate variance based on the equality of variance test.
Repeatabilities were based on the variance components derived from an analysis of variance (ANOVA), with equal sample sizes (courtship duration) and unequal sample sizes (spermatophore attachment) [ 40].
95% CIs were calculated based on these variance estimates.
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