The article discusses simple experiments with only one factor. It explains different analysis methods like ANOVA and multiple comparisons. The researchers used a pulp experiment to show how to split total sum of squares into treatment and residual components. They found that mean squares can be calculated by dividing these sums by their degrees of freedom. The article also talks about checking if the model assumptions are met.