What is the effect of increasing sample size on Power?

Unlock all questions

This demo includes only 20 questions. Upgrade to access hundreds of questions, flashcards, exam simulations, and disable ads.

Full question bankExam simulationsFlashcards
From $24.99Unlock all

Master CRINQ's Descriptive, Inferential, and Clinical Statistics with our practice test. Tackle multiple choice questions, each with detailed explanations, to ensure you're fully prepared. Ready for your exam!

Multiple Choice

What is the effect of increasing sample size on Power?

Explanation:
Increasing sample size raises the power of a statistical test. Power is the probability of correctly rejecting a false null hypothesis. With more data, the standard error shrinks, making the distribution under the true alternative more separated from the null distribution. This enhances our ability to detect a real effect at the chosen significance level, so the chance of finding a statistically significant result when there is a true effect goes up, approaching 1 as the sample grows. It won’t decrease power, and it typically makes power more stable rather than more variable.

Increasing sample size raises the power of a statistical test. Power is the probability of correctly rejecting a false null hypothesis. With more data, the standard error shrinks, making the distribution under the true alternative more separated from the null distribution. This enhances our ability to detect a real effect at the chosen significance level, so the chance of finding a statistically significant result when there is a true effect goes up, approaching 1 as the sample grows. It won’t decrease power, and it typically makes power more stable rather than more variable.

More Multiple Choice Questions
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy