How Does a Large Sample Size Affect the Confidence Interval?
The confidence interval (CI) is narrower when the sample size is large, indicating a higher level of precision in the estimate of the population parameter. For example, in a study estimating the prevalence of a disease, a larger sample size will yield a more precise estimate of the true prevalence, reflected by a narrower CI.
