SaaS

  Summary of Analysis Technique. ANOVA is used for examining the differences in the mean values of the dependent variable associated with the effect of the controlled independent variables, after taking into account the influence of the uncontrolled independent variables. ANOVA must have a dependent variable which should be metric (measured using an interval or ratio scale).  ANOVA must also have one or more independent variables, which should be categorical in nature.  In ANOVA , categorical independent variables are called factors. A particular combination of factor levels, or categories, is called a treatment. https://www.statisticssolutions.com/anova-in-spss/ To test if the means are different, an ANOVA test compares the explained variance (caused by the input factor) to the unexplained variance (caused by the error source).  If the ratio of explained variance to unexplained variance is high, the means are statistically different. https://www.ibm.com/docs/en/cogn...