<P> To test if a distribution is other than unimodal, several additional tests have been devised: the bandwidth test, the dip test, the excess mass test, the MAP test, the mode existence test, the runt test, the span test, and the saddle test . </P> <P> The dip test is available for use in R . The P values for the dip statistic values range between 0 and 1 . P values less than 0.05 indicate significant multimodality and P values greater than 0.05 but less than 0.10 suggest multimodality with marginal significance . </P> <P> Silverman introduced a bootstrap method for the number of modes . The test uses a fixed bandwidth which reduces the power of the test and its interpretability . Under smoothed densities may have an excessive number of modes whose count during bootstrapping is unstable . </P> <P> Bajgier and Aggarwal have proposed a test based on the kurtosis of the distribution . </P>

If a distribution is multimodal what does this mean