Asymmetric refers to a distribution that is not identical on both sides of its central point, meaning one tail is longer or fatter than the other. In the context of the F distribution, this characteristic is crucial as it influences the way we interpret statistical results derived from this distribution, particularly in hypothesis testing and variance analysis.