GGR270H1 Lecture Notes - Asparagine, Descriptive Statistics
Document Summary
Graphs ( describing and talking about the graph and you start looking at patterns) Correlations (connection between two variables, ex education and income) The chances of something happening (ex- chances of winning a lottery) Take the test marks of the past 3 years and estimate what those tests marks be in future. There is a process that we have to do and then there is a set of ways and techniques that we have to look at. Vital statistics - birth rates, death rates (use this data and compare across jurisdictions) Economic indicators unemployment rates, income levels. Measuring different things and looking at combination of these, how they all work together. Methodology for collecting , presenting and analyzing data. What will population of toronto will look like in 2015. Evaluate (analyze the results and do some evaluation, Then it allows us to select among alternatives. Summaries of our data , what it actually shows,
