A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
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the populations have an excess of heterozygotes
Oh, dude, an F-statistic over 300 means there's a high likelihood that the differences between group means are not just due to random chance. It's like when you're playing darts and you hit the bullseye three times in a row - it's not just luck, you've got some serious skills going on. So yeah, in stats land, a high F-statistic is like hitting that statistical bullseye.
The F statistic is statistic which may be used to test whether a regression accounts for a statistically significant proportion of the observed variation in the dependent variable.
The F-statistic is a test on ratio of the sum of squares regression and the sum of squares error (divided by their degrees of freedom). If this ratio is large, then the regression dominates and the model fits well. If it is small, the regression model is poorly fitting.
A high z-score (or t-score, depending on what info you've been given for the data) means that a number is very far away from the mean (average) number. This number might be an outlier.