A sound interpretation of a 95% confidence interval (CI) for a sample mean is that it implies there is a 95% probability that the true population mean falls within the interval encompassed by the 95% CI. True False
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In other words, if we were to take many samples and calculate the 95% confidence interval for each sample, we would expect that 95% of these intervals would contain the true population mean. So, the correct interpretation of a 95% confidence interval is that we Show more…
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