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Table 4 shows the results of an analysis of variance and Duncan's mean separation test for tensile strength perpendicular to the the grain of calabrian pine wood.
The analysis of variance is a very comprehensive topic in statistics.
Table 12 summarizes the results of various multivariate two-way analysis of variance tests using country and industry as factors and the various size measures -- sales, profits and number of employees -- as covariates.
Table 1 Analysis of Variance of AIDS Knowledge Source of Variation Mean Square DE F Covariate: Age 499.0 1 39.5 (*) Main Effects: School 124.8 9 9.9 (*) Hours AIDS education 152.2 2 12.1 (*) Gender 0.2 1 0.1 2-way Interactions: School x Hours education 15.0 18 15.0 School x Gender 13.1 9 1.0 Hours education x Gender 24.0 2 1.9 3-way interactions: School x Hours education x Gender 26.4 15 2.1 (*) p < .001 [TABULAR DATA OMITTED]
The analysis of variance shown in table 3 was taken from the open literature to serve as an example.
Analysis of variance for South Korea's data produces the results of Table 8 and Figure 4.
A one-way analysis of variance was used with the data.
A repeated measured analysis of variance with patient's mood rating (as measured with the DACL) as the dependent variable would be the preferred method of analyzing the data.
His topics include experimental and quasi-experimental research, univariate statistics, bivariate analysis comparing two groups, multivariate analysis using regression models to look at the relationship between several predictors and one dependent variable, and using analysis of variance to compare more than two groups.
They cover the basics of inferential and descriptive statistics, developing frequency distributions, understanding variability, comparative statistics, exploring the relationship between nominal variables, using correlations, applications of simple linear regression, multiple regression analysis, hypothesis testing and the t test, and one-way analysis of variance, with exercises and solutions.
To determine the significance of the treatments applied to the parameter studied, we used analysis of variance with two factors, a comparison of the average correlation between the different parameters studied using statistical software minitabe 2000.
A one-way ANOVA (analysis of variance) was run to compare means of sub-scales shared and supportive leadership, collaborative culture, collective learning and application and shared values and vision.

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