reword this please: The differences were crucial in coming up with a different F-value and therefore significant results. The standard deviations, variances and ranges were different among the two sets, the total sum of squares were different, and the sum of squares for each individual group. This resulted in a different within sum of squares, which made MS within differ, making the F-value different. The MS within (denomenator) was smaller for the second data set, making the F-value bigger, and significant