OpenAnesthesia and the APSF: Achieving Safe and Quality Anesthesia Care with Education Innovation

One-way analysis of variance (ANOVA) simultaneously compares the differences among population means of more than two independent groups for a one-factor experiment. Chi-square test for categorical variables determines whether there is a difference in the population proportions between two or more groups. The unpaired t-test compares the population means between two independent (and normally distributed) groups. The paired t-test examines repeated measurements obtained from the same set of individuals. The objective of the analysis is to show that any differences between two measurements of the same individuals are due to different treatment conditions. This approach is based on the theory that the same individuals will behave alike if they are treated alike and is frequently used in crossover studies.