If other factors such as sample size,alpha level,and population standard deviation are held constant,the larger the size of the treatment effect,the greater the power of the hypothesis test.

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Quizplus · Accepted Answer

This is true. The power of a hypothesis test is influenced by several factors, including sample size, alpha level, population standard deviation, and effect size. As the size of the treatment effect increases, the likelihood of correctly rejecting a false null hypothesis (i.e., achieving statistical significance) also increases, leading to greater power.

If Other Factors Such as Sample Size,alpha Level,and Population Standard