What Factors Affect the Width of Confidence Intervals?
The width of a confidence interval is influenced by several factors: - Sample Size: Larger sample sizes generally produce narrower confidence intervals, indicating more precise estimates. - Variability in Data: Greater variability (standard deviation) in the data results in wider confidence intervals. - Confidence Level: Higher confidence levels (e.g., 99% vs. 95%) lead to wider intervals as they aim to capture the true parameter more reliably.
