General Studies · Confidence Intervals
What does a 95% confidence interval mean in statistical inference?
- 1The probability that the null hypothesis is true is exactly 95%
- 2There are 95 chances in 100 that the sample results do not represent the true population parameter
- 3If repeated samples are drawn, 95 out of 100 constructed intervals are expected to contain the true population parameter✓
- 4There are 5 chances in 100 that the sample results represent the true population parameter
Correct answer
If repeated samples are drawn, 95 out of 100 constructed intervals are expected to contain the true population parameter
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