Understanding Type I Errors

In the realm of statistical analysis, a incorrect conclusion can have significant consequences. A false positive occurs when we accept the null hypothesis although it is actually true. This means finding a relationship or effect that truly exist. Consequently, false positives can result in wasted resources, misguided decisions, and even undesirable

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