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To describe the interactive effects of the input variables on responses in the statistical analysis, one variable is set constant while the other two variables are varying in the design space.
Student t test was used for statistical analysis of the variables between the two groups.
Statistical analysis of all variables was performed by SPSS 11.5.
Statistical analysis of dichotomous variables was performed using Chi-square test.
Statistical analysis of categorical variables was also carried out using χ analysis and Fisher exact analysis.
The statistical analysis of continuous variables is usually considered as more powerful than the analysis of dichotomous variables.
Statistical analysis of all measured variables was performed using SPSS for windows, Version 14.0.
Statistical analysis of data was performed by one-way ANOVA.
The statistical analysis of the results provided mathematical models for each response variable.
Physically relevant climate, ground material, water body, and topographic environmental (i.e., predictor) variables were used in the statistical analysis of MAGT and ALT23.
Sabermetrics, the statistical analysis of baseball data.
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