GGR270H1 Lecture Notes - Descriptive Statistics, Opinion Poll, Sampling Distribution
Document Summary
Only available through email: damian. dupuy@utoronto. ca (1 or 2 sentences) 3 assignments worth 30 %, midterm oct 17 worth 25%, exam worth. Understand and critically comment on the work of others. Application of most appropriate techniques or set of techniques. What does this result mean to my research problem . Example: opinion poll, that is estimation you are using a small subset of people and then estimating the larger group. Taking a small subset and analyzing it to the big group. Social statistics: poverty rates, crime rates and we can look at the connection between them and build an opinion from them. Methodology for collecting, presenting and analyzing data. Theory of validation proving your argument: you can use your data to do so. Forecasting changes (example in population in the next 10 years, will it increase or decrease?) Evaluate analyze the results we get. Descriptive and inferential statistics (half the course is based on descriptive the other half inferential)
