This three-day workshop is for people who look at probability survey results and want to make sense of the numbers. The workshop opens with a review of the statistical concepts that determine what one can say – and not say – with results from a probability-based sample survey. Participants will then work through a case study of a Statistics Canada health survey to see the impact of the survey process on results, how to review data during the survey process, how and when to use survey weights (and what they are), and basic methods for finding and presenting the story within the mass of results that come out of a survey. Participants should be familiar with Excel, and exposure to pivot tables is desirable.