Step 1 :The question is asking for the correct interpretation of a confidence interval. A confidence interval is a range of values, derived from a data set, that is likely to contain the value of an unknown population parameter. In this case, the population parameter is the mean width of the widgets.
Step 2 :The correct interpretation of a confidence interval is that we are 99% confident that the true population mean lies within the interval. This does not mean that there is a 99% chance that the mean of a sample of 25 widgets will be between 12.8 and 31.2, because the sample mean can vary from sample to sample.
Step 3 :Also, it does not mean that there is a 99% chance that the mean of the population is between 12.8 and 31.2, because the population mean is a fixed value and does not have a probability associated with it.
Step 4 :It does not mean that the mean width of a randomly selected widget will be between 12.8 and 31.2, because the confidence interval is about the population mean, not individual measurements.
Step 5 :Finally, it does not mean that the mean width of all widgets is between 12.8 and 31.2, 99% of the time, because the confidence interval is about the population mean, not the mean of our sample.
Step 6 :Final Answer: \(\boxed{\text{With 99\% confidence, the mean width of all widgets is between 12.8 and 31.2}}\)