Of the two types of statistical errors, the one that decision makers have most control over is Type I error.

Question

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Type I error, or false positive, occurs when a true null hypothesis is incorrectly rejected. Decision makers can control the probability of making a Type I error by setting the significance level (alpha) before conducting a hypothesis test, thus directly influencing the chance of this error occurring.

Of the Two Types of Statistical Errors, the One That