Final answer:
The assumption of normality in statistical analysis and its importance for valid statistical inference.
Step-by-step explanation:
The subject of this question is the assumption of normality in statistical analysis. Specifically, it pertains to the normality assumption in two-sample tests and ANOVA (Analysis of Variance).
The normality assumption in this context means that the populations from which samples are drawn are normally distributed. This assumption is important for valid statistical inference.
Other assumptions include random and independent sampling, as well as equal variances for the two populations.