Interpreting statistical results involves understanding p-values, confidence intervals, and effect sizes: - P-values: Indicate the probability that the observed results occurred by chance. A p-value Common Pitfalls in Statistical Analysis Researchers must be cautious of several pitfalls: - Selection Bias: Ensuring that study samples are representative of the general population. - Confounding Variables: Identifying and controlling for variables that could distort the observed relationships. - Multiple Comparisons: Adjusting for the increased risk of Type I errors when conducting multiple statistical tests.
