Hypothesis testing is a fundamental aspect of inferential statistics. In cancer research, a null hypothesis (H0) might state that a new treatment has no effect compared to the standard treatment, while the alternative hypothesis (H1) states that the new treatment is more effective. Researchers use statistical tests such as t-tests, chi-square tests, and ANOVA to determine whether to reject H0 in favor of H1.
