Table 1.
Statistical table.
| Data structure | Type of test | Statistic and p value | |
|---|---|---|---|
| a | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,168) = 14.84, p < 0.001; p < 0.001 |
| b | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 4.02, p < 0.001; p = 0.87 |
| c | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 10.77, p < 0.001; p < 0.001 |
| d | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 13.13, p < 0.001; p < 0.001, p = 0.35 |
| e | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 2.69, p = 0.005; p = 1, p = 0.96 |
| f | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 7.23, p < 0.001; p = 1, p < 0.001 |
| g | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,132) = 14.62, p = 0; p < 0.001, p = 0.15 |
| h | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,120) = 12.58, p = 0; p < 0.001, p = 0.1 |
| i | Nonnormal distribution | Wilcoxon rank-sum test | z = –4.099, p = 4.1 × 10–5 |
| j | Nonnormal distribution | Wilcoxon rank-sum test | z = –3.187, p = 0.0014 |
| K | Normal distribution | t test | t(579) = 5.64, p < 0.001 |
| l | Normal distribution | t test | t(395) = 3.35, p = 9 × 10–4 |
| m | Normal distribution | t test | t(750) = 0.75, p = 0.45 |
| n | Normal distribution | t test | t(408) = 0.64, p = 0.52 |
| o | Normal distribution | t test | t(383) = 2.55, p = 0.011 |
| p | Nonnormal distribution | Wilcoxon rank-sum test | z = –4.4, p = 1.1 × 10–5 |
| q | Nonnormal distribution | Wilcoxon rank-sum test | z = ×2.46, p = 0.013 |
| r | Normal distribution | t test | t(720) = 5.29, p < 0.001 |
| s | Normal distribution | t test | t(345) = 2.1, p = 0.03 |
| t | Normal distribution | t test | t(690) = 0.86, p = 0.39 |
| u | Normal distribution | t test | t(308) = 0.08, p = 0.94 |
| v | Normal distribution | t test | t(18) = 2.32, p = 0.032 |
| w | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 13.42, p < 0.001; p = 0.018 |
| x | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 6.57, p < 0.001; p = 0.004, p = 0.41 |
| y | Normal distribution | t test | t(6) = 5.02, p = 0.002 |
| z | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 6.68, p < 0.001; p = 0.01 |
| ab | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 1.41, p = 0.18 |
| ac | Normal distribution | 2-way ANOVA; Tukey–Kramer test | F(11,72) = 5.42, p < 0.001; p = 0.022 |
| ad | Normal distribution | t test | t(6) = 2.53, p = 0.04 |
| ae | Normal distribution | t test | t(6) = 3.66, p = 0.01 |
| af | Nonnormal distribution | Kruskal–Wallis test; Tukey–Kramer post hoc test | H(4) = 14.52, p = 0.0058; p = 0.52, p = 0.011, p = 0.96, p = 0.97 |
| ag | Nonnormal distribution | Kruskal–Wallis test; Tukey–Kramer post hoc test | H(4) = 83.97, p < 0.0001; p < 0.0001, p < 0.001, p = 0.96, p = 0.003 |
| ah | Nonnormal distribution | Kruskal–Wallis test; Tukey–Kramer post hoc test | H(4) = 13, p = 0.011; p = 0.82, p = 0.005, p = 0.99, p = 0.99 |
| ai | Nonnormal distribution | Kruskal–Wallis test; Tukey–Kramer post hoc test | H(4) = 17.24, p = 0.0017; p = 0.48, p = 0.04, p = 0.004, p = 0.8, p = 0.99 |
| aj | Nonnormal distribution | Kruskal–Wallis test; Tukey–Kramer post hoc test | H(4) = 22.06, p < 0.001; p = 0.004, p = 0.039, p = 0.99, p = 0.85 |