A sample function drawn from a large class of independent increment processes with one of two sets of parameters is observed at evenly spaced time instants. The error probabilities associated with a standard hypothesis testing problem are studied as a function of the time interval between observations, holding the total number of observations fixed. A partial solution is obtained to the problem of choosing the optimal sampling rate.