What is the relationship between sample size and statistical power?
An example of an AI chatbot conversation about sample size and statistical power in research.
What is the relationship between sample size and statistical power?
The sample size directly affects statistical power. A larger sample size increases the likelihood of detecting an effect if there is one.
Can you explain what statistical power means?
Statistical power is the probability that a test will correctly reject a false null hypothesis. It reflects the test's ability to detect an effect.
How do I determine the right sample size for my study?
To determine the right sample size, you can use power analysis, which considers the expected effect size, significance level, and desired power.
What happens if my sample size is too small?
If your sample size is too small, you risk having low statistical power, which increases the chance of Type II errors, meaning you might miss a true effect.
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