- Small sample size makes the finding more reliable.
- Small sample size can lead to unstable estimates and findings that may not replicate in larger studies.
- The p-value is always accurate regardless of sample size.
- The study had high power.
57. A medicinal study finds a statistically significant result (p < 0.05), but the sample size was very small. What critical implication does this have for the reliability of the finding?
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