Final answer:
A confidence interval estimate of the mean weight provides the range of values within which the true population mean weight is likely to fall.
Step-by-step explanation:
A confidence interval is the mean of your estimate plus and minus the variation in that estimate. This is the range of values you expect your estimate to fall between if you redo your test, within a certain level of confidence. Confidence, in statistics, is another way to describe probability.
An additional information provided by a confidence interval estimate of the mean weight is the range of values within which the true population mean weight is likely to fall. This range is calculated based on the sample mean weight and the variability of the sample.
For example, if Sally's point estimate of the mean weight of students at her school is 150 pounds with a 95% confidence interval of +/- 5 pounds, it means that we can be 95% confident that the true mean weight of students at her school falls between 145 and 155 pounds.