Asked by Celeste Tidwell on Jul 11, 2024

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Which of these strategies is MOST commonly used to decrease type I error?

A) using a directional alternative hypothesis
B) lowering alpha
C) increasing sample size
D) increasing alpha

Type I Error

Occurs when a true null hypothesis is incorrectly rejected, falsely indicating that there is a significant effect when there is none.

Lowering Alpha

The process of reducing the alpha level, or the significance level, to decrease the likelihood of committing a Type I error in statistical hypothesis testing.

  • Pinpoint procedures to mitigate Type I and Type II errors.
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Verified Answer

HJ
Hannah JensenJul 16, 2024
Final Answer :
B
Explanation :
Lowering alpha is the most commonly used strategy to decrease type I error. This means decreasing the level of significance at which a result is considered significant (for example, using an alpha level of 0.01 instead of 0.05). Using a directional alternative hypothesis, increasing sample size, and increasing alpha are strategies used for other purposes and will not necessarily decrease type I error.