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There is a statistically significant difference between three groups by the end of each week (p. value < 0.05).
Despite the consistency in the differences found between three groups by the four different methods, some inconsistency was exhibited because of the differences between these methods.
Comparison between two groups was by student's t test, and between three groups by one-way analysis of variance (ANOVA) using Bonferroni's correction for multiple comparisons.
In figure 4, we compared the value between three groups, by a two-way anova where one factor stands for the days and the second for the technique.
Unless otherwise stated, statistical comparison between two groups at a single time-point was by Student's t-test, and between three groups by one-way ANOVA.
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The effects were compared between two groups by using t-test.
The newly discovered genes cause reproductive isolation between two groups by causing their offspring, or hybrids, to be infertile or die.
DEA-discriminant analysis (DEA-DA) is designed to identify the existence or non-existence of an overlap between two groups, by separating hyperplane.
We performed comparisons between two groups by using a Chi-square test (two-sided) for categorical variables and a Mann-Whitney U test for continuous nonparametric variables.
We evaluated differences between two groups by unpaired t-test and multiple groups by one-way analysis of variance.
*Significant difference between two groups by χ test.
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