Typically, a data professional aims to achieve a statistical power of at least _____ to consider their results statistically significant.

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Multiple Choice

Typically, a data professional aims to achieve a statistical power of at least _____ to consider their results statistically significant.

Power measures the study’s ability to detect a true effect when one exists. In practice, data professionals aim for at least 0.8, or 80% power, meaning there’s an 80% chance the test will yield a statistically significant result if a real effect of the chosen size is present. This level helps balance the risk of missing real effects (Type II error) with the realities of sample size, cost, and feasibility. Higher power (like 0.9 or 0.95) reduces the chance of overlooking true effects but typically requires larger samples or stronger effects, while lower power (0.6) increases that risk. Hence, 0.8 is commonly used as the minimum acceptable power.

Power measures the study’s ability to detect a true effect when one exists. In practice, data professionals aim for at least 0.8, or 80% power, meaning there’s an 80% chance the test will yield a statistically significant result if a real effect of the chosen size is present. This level helps balance the risk of missing real effects (Type II error) with the realities of sample size, cost, and feasibility. Higher power (like 0.9 or 0.95) reduces the chance of overlooking true effects but typically requires larger samples or stronger effects, while lower power (0.6) increases that risk. Hence, 0.8 is commonly used as the minimum acceptable power.

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