Statistics ~ Sampling vs. Non-sampling Error
Thought I would post this so that I can link to it if/when I reference this in other posts. There are two types of error in statistical studies. One is that which is inherent in the statistical process and this type is called sampling error. Unless a census is done -- e.g. data is collected from every member or item in a population -- selection of a sample introduces some error into the process. This is often called the error due to natural fluctuations in a random selection process. If you have 10,000 people, half male half female, you have a 50% chance of selecting a male or female. If you select 10 people from this group, however, there is also a reasonable probability of selecting, say, 7 males and 3 females. This is sampling error. We can quantify it. If we select 100 people instead, the probability of getting 70/30 -- a gender split dramatically differing from the population -- is very small, but again this is quantif...