What is the difference between sampling error and tracking error?
Sampling error is the amount of deviation in the results of your sample compared to the population results your sample is representing. A simple way to improve this is to increase the sample size, but it’s not without cost. Tracking error represents the deviation from a benchmark you’re trying to achieve or expecting to achieve.