Exact(1)
Using the F test (F 4,24 =26.5, p<0.05, F5%=2.78) it can be observed that the variety and the fertilization interaction with the variety (F 8,24 =4.1, p<0.05, F5%=2.34) determines significant differences in the Ca content from the studied hemp seeds.
Similar(59)
One-way analysis of variance (F-test with p < 0.05) is performed to determine significant differences between different treatments.
A χ test of significance was used to determine significant differences between cross-tabulated proportions.
The chi-square test was used to determine significant differences in the ARI scores among the different groups.
The chi-square test was used to determine significant differences in the adhesive remnant index scores among different groups.
Chi-square analysis was performed to determine significant differences in NaCl-promoted bioformationation between MRSA and MSSA strains using Microsoft Excel.
When the ANOVA determined significant differences between factors, a post-hoc pair-wise Least Significant Difference (LSD) test was performed to assign differences to specific factors.
One-way analysis of variance was used to determine significant differences.
KW tests determined significant differences between the three treatment conditions and pairwise comparisons were performed using MWU tests (significant P< 0.05).
Student's paired t-tests were used to determine significant differences between visit 1 and visit 2 values for height, BW, BMI, BF%, BP and resting HR.
Sigma Plot 11.0 was used to determine significant differences between treatments.
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