STAT 100 Lecture Notes - Lecture 1: Dependent And Independent Variables, Simple Random Sample, Observational Study

• School: Simon Fraser University
• Department: Statistics
• Course: STAT 100
• Professor: Gamage Perera

Document Summary

We gain insight and make conclusions based on data. *anecdotes: family lives 150 feet from power line. Individuals: objects (could be people or things) described by a data set. Variable: a characteristic of an individual that could be measured or observed. When we measure one or more variables for a set of individuals, we have a data set. 2 types of variables: numerical (numbers, categorical (categories) Observational study: researcher measures a response variable without attempting to influence or control the response. Experimental: researcher intentionally applies some treatments to subjects and then measures a response variable (pill 1 to group a, pill 2 to group b) Population: the entire set of individuals about which we want to make conclusions. Sample: a part of the population for which we actually collect data. Sample survey: researchers carefully select members of a population of interest and measure their responses to various questions.