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This difference is not statistically significant in a two sample mean test (p = 0.1070, Figure 2) in our limited patient population.
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No statistically significant differences were noted in the number of IRDM-CGIs between cancer, EBV and normal cell lines using Welch's one-way analysis of means test (p = 0.262).
* = Significance difference from control in a Dunnett's mean contrast test (p < 0.05).
The difference in means was further analysed using the Tukey means comparison test (P = 0.05) to determine which variants were significantly different from each other for each trait measured.
For each column, different letters after mean values represent significantly different means (Tukey's test, P < 0.05) n.a.a
For each column, different letters after the mean values represent significantly different means (Tukey's test, P < 0.05) aThis experiment was partly a replication of the UCPH experiment limited to five plants pot−1 (see Additional file 1 for details).
The two groups were significantly different in all the numerical tests except the RT of the number line positioning task (for mean test results and p values of independent t-tests see Table 1).
Different letters indicate significant differences between means (Tukey's test, P = 0.05).
Statistical analysis was performed using repeated measures analysis of variance and model-based means post hoc test (p < 0.05) with an asterisk denoting statistical significance.
Data were subjected to statistical analysis of variance (ANOVA) by comparing means with Tukey test (p <0.05).
All data represents mean ± SE of three replicates and differences between means analyzed using DMRT test (P ≤ 0.05) All data represents mean ± SE of three replicates and differences between means analyzed using DMRT test (P ≤ 0.05).
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CEO of Professional Science Editing for Scientists @ prosciediting.com