In the realm of statistical testing, it's crucial to recognize the potential for faulty conclusions. A Type 1 error – often dubbed a “false positive” – occurs when we discard a true null claim; essentially, concluding there *is* an effect when there isn't one. Conversely, a Type 2 false negative happens when we don't reject a false null cla… Read More