the amount of virus required to kill 50% of infected host or to produce cytopathic effect in 50% of inoculated tissue culture cells
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It shows us by telling us how far away it is from the mean.
The standard deviation for a set of data is a measure of how much the individual observations are spread about their mean. A small value indicates that they are all tightly packed around the mean value whereas a large value indicates that the observations are not so close together.
A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.
I'm not really sure what the F-ratio is, but we just finished null and alternative ratios in our AP stats class. In our class, we calculuated a p-value, and if that value is smaller than the alpha-value (significance level) you have enough evidence to reject the null hypothesis. Sorry if this doesn't help.
A mistake in calculations! ;) If the calculations are done correctly then the sample correlation must lie within the closed interval [-1, 1].