Sentence examples for mean comparison testing from inspiring English sources

Comparisons of the socio-economic profiles of households in which the indigents resided and of certain basic needs such as income, access to healthcare or to food (measure of vulnerability) in the three groups of indigents were based on chi-square testing (partial or complete tests) or mean comparison testing (ANOVA).

For all data, equal variance test and normality tests were performed prior to other mean comparison testing.

Simple mean comparison tests were performed to compare fig/wasp size between subsections/genera involved in strict association with their partners and subsections/genera involved in multiple associations.

In addition, a one-way repeated measures analysis of variance with a two-tailed post-hoc Tukey mean comparison tests were performed on the change Mania Rating Scale scores from baseline.

In addition, a one-way repeated measures analysis of variance with a two-tailed post hoc Tukey mean comparison test were performed in the change from baseline for HAM-D scores in each group.

In addition, a one-way repeated measures analysis of variance with a two-tailed post-hoc Tukey mean comparison test were performed on the change in Teacher and Parent ADHD Rating Scale scores from baseline.

Bivariate means comparison tests identified no differences in the means of the key indicators between the excluded and retained observations, suggesting that cases were missing at random.

The test of difference in means was performed using a means comparison test (t test) of unequal variances (using both Satterthwaite's and Welch's formulas) in the Stata program.

Contrary to relaxed constraints, KS of gambicin - was lower than that in all other genes (P<0.048, multiple least squares means comparison test).

A means comparison test suggests that the age of women with NCDs, was closely, although not significantly, related to healthcare utilization (p = 0.07) (Table  5).

A means comparison test suggests that the age of women with an NCD was closely, although not significantly, related to healthcare utilisation (p=0.07) (Table 3).