Statistical analysis is crucial for interpreting experimental data. Choose appropriate statistical tests based on the data type and research question. Commonly used tests include t-tests, ANOVA, and chi-square tests. Ensure that the sample size is adequate to achieve statistical power, and report p-values and confidence intervals to support your conclusions.
