Wald Test

The Wald Test is a statistical method used to determine whether a certain assumption or hypothesis about data is likely true. It compares an estimated parameter (like an average or effect size) to a specific value, considering the estimate’s uncertainty. If the difference is large enough relative to this uncertainty, the test suggests the hypothesis may be false. Essentially, it checks if the data provides enough evidence to support or reject a specific assumption, helping researchers decide if observed effects are statistically significant.