Final answer:
The F-statistic is a value used in hypothesis testing to compare variances between groups or populations.
Step-by-step explanation:
The F-statistic is a value used in hypothesis testing to determine whether the variances of two or more groups or populations are significantly different. It is calculated by taking the ratio of the variances between the groups and the variances within the groups. The F-statistic follows the F-distribution, which is named after Sir Ronald Fisher, an English statistician.
In order to report the F-statistic, we need more specific information about the test being conducted. From the given information, we have a list of F-statistic values, but we don't know which test or experiment they are associated with.