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Multiple simultaneous pairwise comparisons of the residuals, pooled over Brand, using Tukey's Minimum Significant Difference test indicated statistically significant differences in variances for pH 3 compared to pH 5, pH 7, and pH 9 but not pH 11.
For each soil attribute and each richness estimate at 3 and 20% genetic distance, one-way analysis of variance and Tukey pair-wise comparisons were used to determine the minimum significant difference (P<0.05) between management types by employing STATISTICA 8.0 (StatSoft, Inc., Tulsa, USA).
Such effect differences are termed "minimum significant difference" (MSD) and characterize the statistical detection limit of a specific experimental setup.
Differences between the treatment groups and the negative control were determined by calculating the minimum significant difference (MSD) (p < 0.05) by the Tukey-method.
In cases in which P < 0.05, treatment means were compared by the Tukey test, and the minimum significant difference was calculated for α = 0.05.
It was also possible to compare two proportions, considering a 5% probability of type I error, 80% study power, working with the maximum p × q product (a 50% prevalence of the event) and fixing at 4% the minimum significant difference.
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Minimum significant differences were calculated by the Bonferroni, Holm Sidak, Dunett, and Duncan tests (p < 0.05) using the SIGMA STAT package (SciencesSoftware.com, http://www.sciencessoftware.com).com
The data regarding weight gain, plasma levels of AST, GGT, LDH, ALT, CHE, and creatinine, and TBARS concentrations in the liver were analyzed using a one-way ANOVA, and differences between the means were established with Fisher's post hoc tests (i.e., minimum significant differences) using the minimum confidence level of 95%.
A sample size of 63 per group (total=126) will have 80% power, at the 5% significance level, to detect a minimum clinically significant difference in mean improvement on the interference scale score of the BPI of 1 unit (SD of improvement of 2 units) compared to the controls based on a two-sample t test.
A full equation for the estimation of minimum significant activity difference, depending on the number of samples, standard deviation of the measurements and the true variance of the biochemical effect is developed.
There were 19/22 patients who exceeded the minimum clinically significant improvement of 47.5 m [ 25] and 17 patients exceeded the minimum clinically significant difference of 4 units for total SGRQ score [ 18].
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