What's a population? Easy question? Or not? What's a representative sample? What's a random sample from the population and how do you decide if the set of data you have is the same or different from your population. How many samples do you need to take to be representative of the whole population?
Rob Radcliffe explains these concepts and much more, passing through central limit theorem - the very core of medical statistics - to explain all of these easy sounding but difficult concepts in a clear and easy to understand video podcast.
Biased and unbiased estimators, sampling distribution of the mean, the difference between standard deviation and standard error and the key principles underlying the statistical tests we all use all the time are explained. See this podcast and you will understand what you are doing when you are looking at the results of a paper, be able to answer questions in exams with more confidence and be on the way to designing your own study and the analysis of the data.
Essential viewing for medical students, core trainees (junior residents) and higher trainees (senior residents) as exams approach, and also fro anyone starting or in the middle of a research project. There are lots of books on statistics out there, but none as clear as these vodcasts.
Next time: statistical testing