In close analogy to the functions N_Dist (,)... for calculating the one-sided probability for a standard normal distribution I'd like to suggest test routines
B_Test () for binomial distributions and P_Test () for Poisson distributions.
Background: In many experiments, signals are not measured as a continuous curernt/voltage but are counted as individual events (photons, particles...) For 'rare' events the corresponding distribution function is binomial (few repetitions/sweeps) or Poisson (many repetitions).
In such cases using a Gaussian distribution is not always justified.
