Statistics for Business
A Type I error occurs when we reject a true null hypothesis
Failing to reject the null hypothesis means the null hypothesis is true
The null hypothesis (H0)(H_0) always contains an equality sign (e.g., =,≤,=,\(\le\), or ≥\(\ge\))
A Type II error occurs when we fail to reject a false null hypothesis