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. Author manuscript; available in PMC: 2024 Jul 1.
Published in final edited form as: Mar Pollut Bull. 2023 May 26;192:115073. doi: 10.1016/j.marpolbul.2023.115073

Table 2).

Summary of statistical analyses performed on DI water and two environmental sediments as part of the subsampling component of this study. For these analyses, the dependent variable was the sum of all polymers detected.

Sample Type Sample ID Statistical Tests Statistical Endpoint Difference Among All Filter Fractions Individual Differences between Filter Fractions
DI water 1 Multi-factor ANOVA followed by Dunnett’s Test (100% used as control) Significant difference
between means
No: F-test: 2.79; p = 0.057 No significant differences detected, not performed.
2 No: F-test: 0.61; p = 0.691 No significant differences detected, not performed.
3 Yes: F-test: 3.76; p = 0.021 Extrapolation of 6% filter wedge was greater than 100% counted
4 Yes: F-test: 4.98; p = 0.007 Extrapolation of 6% filter wedge was greater than 100% counted
Sediment 1 Region 1; 4A-B1 Kruskal-Wallis followed by Dwass, Steel, Critchlow-Fligner pairwise comparisons Relative accuracy No: X2 = 5.02; p = 0.286 No significant differences detected
Absolute bias Yes: X2 = 12.3; p = 0.015 Extrapolation of 6% filter wedge was greater than the 75% filter wedge extrapolation
Sediment 2 Region 9; 5B-B1 Kruskal-Wallis followed by Dwass, Steel, Critchlow-Fligner pairwise comparisons Relative accuracy Yes: X2=10.0, p = 0.040 No significant differences detected.
Absolute bias Yes: X2=23.6, p < 0.001 Extrapolation of 6% filter wedge was greater than 12, 50 and 75% filter wedge extrapolations