[Boost-users] [math/distributions] calculating p-value?

Hi, Having a test which values are chi^2-distributed, I tried to calculate a p-value and utterly failed. My code, so far: #include using boost::math::chi_squared; <snip> chi_squared dist(N - 1); p = cdf(complement(dist, (std::fabs(beta)))) ; Here, N is the sample size and beta my beta-estimate. Reading Numerical Recipies my approach might be a bit naive, yet is there any short hand using boost? (Or am I making a stupid mistake here? Which?) TIA Christian