When the collected data is about one categorical independent variable and one quantitative dependent variable, we should conduct an anova test.
ANOVA stands for Analysis of Variance
When we collect a data which is about one categorical independent variable and one quantitative dependent variable, we should conduct an anova test.
In ANOVA, the dependent variable must be a continuous. The independent variables in ANOVA must be categorical (nominal or ordinal) variables. ANOVA is a parametric test and has some assumptions. ANOVA assumes that the data is normally distributed.
Some conditions to conduct ANOVA test:
Each sample must be taken from a normally distributed population.
Each sample should be drawn independently of the other samples.
The variance of data in the different groups should be the same.
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