What are Common Pitfalls in Measuring Statistical Significance?
One common pitfall is stopping tests too early. Statistical significance requires a sufficiently large sample size to ensure reliable results. Another mistake is not accounting for multiple comparisons; testing multiple variables simultaneously increases the likelihood of finding a significant result by chance. It's essential to adjust your significance level to account for this.