Answer: Independence of Samples
Explanation:
ANOVA is the analysis of variance/Assumptions . The Assumptions under ANOVA are:
The experimental error of data are normally distributed: a mean of the experiments when repeated should be normally distributed.
There are equal variance between treatments: variances between samples must be evenly spread on each side of the mean .
Independence of Sample: this assumes that each sample is chosen at random and not dependent on one another.
Jen's study violates this assumption as her samples are not random.