a gender difference exists within risk aversion and why these differences are not a part of ambiguity aversion. Since psychological measures are related to risk but not to ambiguity, risk aversion and ambiguity aversion are distinct traits because they depend on different variables (Borghans, Golsteyn, Heckman, Meijers, 2009.) A framework that allows for ambiguity preferences Smooth ambiguity preferences are represented as: s ∈ S set of contingencies or states πθ is a probability distribution over S f is an "act" yielding state contingent payoffs f (s) u is a von Neumann-Morgenstern utility function and represents risk attitude φ maps expected utilities and represents ambiguity attitude Ambiguity attitude is summarized using measure similar to absolute risk aversion, only absolute ambiguity aversion: μ is a subjective probability over θ ∈ Θ; Represents the ambiguous belief – it summarizes the decision-maker's subjective uncertainty about the "true" πθ, probability distribution over contingencies. (Collar, 2008) Experiments testing ambiguity in games Kelsey and le Roux (2015) report an experimental test of the influence of ambiguity on behaviour in a Battle of Sexes game which has an added safe strategy, R, available for Player 2 (see Table). The paper studies the behaviour of subjects in the presence of ambiguity and attempts to determine whether subjects playing the Battle of Sexes game prefer to choose an ambiguity safe option. The value of x, which is the safe option available to Player 2, varies in the range 60-260. For some values of x, the safe strategy (option R) is dominated by a mixed strategy of L and M, and thus would not be played in a Nash equilibrium. For some higher values of x the game is dominance solvable. The effect of ambiguity-aversion is to make R (the ambiguity-safe option) attractive for Player 2. R is never chosen in Nash equilibrium for the parameter values considered. However it may be chosen when there is ambiguity. Moreover, for some values of x, the games are dominance solvable and R is not part of the equilibrium strategy. During the experiment, the Battle of Sexes games were alternated with decision problems based on the 3-ball Ellsberg urn. In these rounds, subjects were presented with an urn containing 90 balls, of which 30 were Red, and the remainder an unknown proportion of Blue or Yellow, and asked to pick a colour to bet on. The payoff attached to Red was varied in order