$$\text { The smaller the significance level, } \alpha \text {, the greater the power. }$$

Name: \[\text { The smaller the significance level, } \alpha \text {, the greater the power. }\]
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The power of a test is the probability of correctly rejecting a false null hypothesis, and it is influenced by the significance level, effect size, and sample size. A smaller significance level typically reduces the power, as it makes the test more stringent.

The smaller the significance level, α, the greater the power. \text { The smaller the significance level, } \alpha \text {, the greater the power. } The smaller the significance level, α, the greater the power.

$\text { The smaller the significance level, } \alpha \text {, the greater the power. }$