Confidence intervals (CIs) provide a range of values within which the true effect size is expected to lie, with a given level of confidence (usually 95%). A narrow CI indicates more precise estimates. P-values measure the probability that the observed results occurred by chance. A p-value less than 0.05 typically indicates statistical significance. Interpreting these metrics helps determine the reliability and significance of the study findings.
