How does the sample size impact the result of a Z-test?
- Larger sample sizes can produce more precise estimates, reducing the standard error
- Larger sample sizes increase the likelihood of a Type I error
- Sample size has no impact on the results of a Z-test
- nan
Larger sample sizes generally allow for more precise estimates of population parameters. This reduces the standard error, making the z-score larger and potentially leading to stronger evidence against the null hypothesis in a Z-test.
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