Several factors contribute to Type II Errors in Email Marketing, including:
Sample Size: A small sample size can increase the likelihood of a Type II Error, as it may not adequately represent the entire audience. Low Statistical Power: The probability of detecting a true effect is known as statistical power. Low power can result from a small sample size or an effect size that is too small to detect. Incorrect Assumptions: Using incorrect assumptions about the data distribution or variance can lead to Type II Errors. Improper Testing Methods: Inappropriate statistical tests or failure to account for confounding variables can increase the risk of Type II Errors.