A researcher reports a 95% confidence interval of [2.1, 5.8] for a mean difference. This means:
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A
There is a 95% chance the true mean is in this interval
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B
95% of sample means will fall in this range
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C
If the procedure were repeated, 95% of such intervals would contain the true parameter
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D
The null hypothesis is rejected at p < 0.05