How Does a Large Sample Size Impact Bias and Variability?
Large sample sizes help reduce the impact of bias and variability: - Reduction in Random Error: Larger sample sizes minimize the impact of random error, making the study findings more reliable. - Mitigation of Selection Bias: With a larger and more diverse sample, the risk of selection bias is reduced, leading to more valid conclusions. - Decreased Variability: Larger samples reduce variability in the data, resulting in more stable and consistent results.
