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In the realm of scientific testing, it's crucial to recognize the potential for incorrect conclusions. A Type 1 mistake – often dubbed a “false alarm” – occurs when we reject a true null statement; essentially, concluding there *is* an effect when there isn't one. Conversely, a Type 2 mistake happens when we fail reject a false null stateme