Which Statistical Error Is Worse: Type 1 or Type 2? Agree or disagree with this statement and use examples to support your position.

When statisticians refer to Type I and Type II errors, we're talking about the two ways we can make a mistake regarding the null hypothesis (Ho). The null hypothesis is the default position, akin to the idea of "innocent until proven guilty." We begin any hypothesis test with the assumption that the null hypothesis is correct.