Sentence examples for test of analysis from inspiring English sources

Results showed that: control factors of X1, X2 and X3 are significant at 0.1% probability level by F test of analysis of variance (ANOVA), with orders of importance as X1, X2 and X3; optimized parameters of the rotary blade are X1 30°, X2 52°, and X3 120°; power consumption of the optimized rotary blade is 0.161 kW, with a 12.40% of power consumption reduction compared with the traditional design.

Difference in more than 2 groups was assessed using Turkey's post hoc test of analysis of variance (ANOVA).

All quantitative data were presented as mean ± SD and analyzed by using the least-significant difference test of analysis of variance.

The Kruskal-Wallis test of analysis in SPSS (version 10.0) software will be used to study the significant change between different cells in the experiments used in this study.

A Kruskal and Wallis non-parametric test of analysis of variance was performed to investigate whether the mean copy number of Osvaldo differs among populations from a given area and between populations from different areas.

1 This is supported by various studies of familial clustering, 2 twin studies, 3 complex segregation analysis, 4 5 test of analysis with the HLA genes 6 including recent genome-wide association studies, 7 8 and studies of several genes that modulate CMI, with a role in either susceptibility to leprosy per se or to leprosy types.

The yield of every run of both designs were confirmed to be melanin by laboratory tests of analysis in the presence of acids, base and water.

Most laboratories have validated and well-established protocols to be followed during tests of analysis as well as recording these tests and their results.

Tests of analysis of covariance (ANCOVA) were conducted to examine the comparative effects of the online SQG and D&P strategies on student academic achievement in English, with student grades in English from the previous semester as the covariate.

Statistical differences between the two groups were evaluated by analysis with t-test; analysis of linear correlation was used to evaluate the correlation between two variances; q-test of analysis of variance (ANOVA) was used to analyze multiple comparison.

However, the authors used t tests instead of analysis of variance.