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%.
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.
While the utility of a TE model is to compare and contrast different technical and economic scenarios, any results from such studies should be viewed in the context of this work; the minimum significant difference in MESP predictions is half the 95%% confidence interval, or approximately $0.15/gal.
The SRK II equation (IOL power = A - 2.5 L - 0.9 K, where A is the A-constant of the lens implant, L is the axial length and K is the mean keratometry) implies that a mean K change of 0.56 Diopters (minimum significant difference for our sample size calculation) results in the IOL power changing by 0.5 Diopters, causing a different IOL to be implanted in the patient.
These similarities with the CGI-I scale suggest an improvement in patients' agitated state and they could be taken as the minimum clinically significant differences.
