A maximum-likelihood estimate of the mean orientation M in the matrix Fisher distribution is then 1~I = AF, which expressed in Euler angles is (~0~,~b,~o2)= (171.598°,2.169°,101.824°). This mean orientation is of course different from the result that would have been obtained by simply taking the arithmetic mean of the Euler angles. Such a simple approach to orientation averaging is not recommended. By the approach of Wood (1993) and with an approximation described by Mardia & Zemroch (1977), the concentration parameter is found as D~= diag(5.311 x 104,3.156x 104,2.615 x 104). The large values for ~b, indicate, as expected, a large clustering of the X's.Consider the problem of testing whether the X's can be assumed to be uniformly distributed on SO(3). In this case, the answer is clearly no but a formal test for the hypothesis of uniformity can be obtained using the statistic R defined by (18). For the data of