- There is a 95% chance that the null hypothesis is true.
- The true population parameter lies within this range 95% of the time.
- The researchers are 95% confident in their findings.
- 95% of the participants showed the desired effect.
A research study reports a “confidence interval” for an intervention’s effect. What does a 95% confidence interval mean?
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