Respuesta :
The correct interpretation of the confidence level is alternative: Ninety-nine percent of all the samples of size 4,000 lie in the confidence interval (0.3474, 0.7526).
What is a confidence level?
The confidence level represents the percentage of intervals that would include the population parameter if you sampled the same population over and over again. A 95% confidence level usually works well. This indicates that if you took a hundred samples, and you calculated 95% confidence intervals, you would expect approximately 95% of the intervals to contain the population parameter, such as the population mean.
With that said, the correct interpretation of the confidence level is that at x% confidence level , we say that x% of all samples possible of the mentioned size will fall between the calculated range. Therefore, The correct interpretation of the confidence level is alternative: Ninety-nine percent of all the samples of size 4,000 lie in the confidence interval (0.3474, 0.7526).
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