Statistical criteria are guidelines used to evaluate and interpret data in research. They help determine whether results are significant, reliable, and applicable. Common criteria include measures like p-values, confidence intervals, and effect sizes, which provide insights into the strength and reliability of findings. These criteria assist researchers in making informed decisions about their hypotheses and conclusions. By applying statistical tests, such as t-tests or ANOVA, researchers can assess differences between groups and ensure that their results are not due to random chance. This process is essential for validating scientific claims and advancing knowledge.