Denial of Variance

Denial of variance is a statistical concept that occurs when a hypothesis test fails to identify a real difference or variability in data. In other words, it’s when the test suggests there is no significant variation or effect when, in fact, there is one. This can happen due to limitations like small sample sizes, high data variability, or insufficient statistical power. Essentially, it’s a type of error where true differences or variations are overlooked, meaning the test "denies" the presence of variance that actually exists.