STAB22H3 Lecture Notes - Lecture 2: Marginal Distribution, Business School, Joint Probability Distribution

• School: UTSC
• Department: Statistics
• Course: STAB22H3
• Professor: Mahinda Samarakoon

Document Summary

A way of reasoning, along with a collection of tools and methods designed to help us understand the world. Can"t see everything or measure it all. What we can measure might be inaccurate. Individual cases (individuals) are the objects described by a set of data. Cases can be people, animals, things. p9: a variable is any characteristic of an individual case (or an individual. ) A variable can take different values on different cases: example: a college"s student data base. Variables: date of birth, gender (female or male), choice of major, gpa etc. Page 2 of 22: when you plan a statistical study or explore data from someone else"s work, ask your self. Weights for example, might be recorded in pounds, in thousands of pounds or in kg: some variables like gender, college major simply place individuals into categories. Others like height, gpa take numerical values with which we can do arithmetic. Page 4 of 22: categorical and quantitative variables.