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Least significant differences (LSDs) were used to establish which means differed significantly (P = 0.05).
For those compounds exhibiting significant difference in the one-way ANOVA, Fisher's least significant difference (LSD) test was applied to determine which sample means differed significantly (p < 0.05).
By multiple comparisons with Bonferroni's adjustment, the group means differed significantly for average temperature reduction (p <.017) and for standardized rate of moisture loss (p =.0001).
Analysis of variance (ANOVA) was performed using the SPSS for Windows software, version 18.0 (SPSS, Chicago, IL, USA) and was followed by pair-wise post hoc analyses (Student-Newman-Keuls test) to determine which means differed significantly at p < 0.05.
When means differed significantly (p<0.05), Tukey's post hoc test was employed.
The three moisture levels means differed significantly (LSMeans test) from one another.
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Least significant difference (LSD at p = 0.05) was used to determine whether means differ significantly.
For zinc, all means differ significantly from each other while for copper and manganese, all the means were not differing significantly.
For iron, all means differ significantly from each other while for copper all means don't differ significantly except for dry ashing with microwave digestion.
For zinc and manganese, all means differ significantly except for the mean of the wet digestion which was not found to differ significantly from the microwave digestion.
The Tukey-Kramer method is a multiple comparison test and it is used to determine whether three or more means differ significantly in an analysis of variance.
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