  We present a nonparametric statistical test for determining whether an agent
is following a given mixed strategy in a repeated strategic-form game given
samples of the agent's play. This involves two components: determining whether
the agent's frequencies of pure strategies are sufficiently close to the target
frequencies, and determining whether the pure strategies selected are
independent between different game iterations. Our integrated test involves
applying a chi-squared goodness of fit test for the first component and a
generalized Wald-Wolfowitz runs test for the second component. The results from
both tests are combined using Bonferroni correction to produce a complete test
for a given significance level $\alpha.$ We applied the test to publicly
available data of human rock-paper-scissors play. The data consists of 50
iterations of play for 500 human players. We test with a null hypothesis that
the players are following a uniform random strategy independently at each game
iteration. Using a significance level of $\alpha = 0.05$, we conclude that 305
(61%) of the subjects are following the target strategy.
