Statistical Sciences 1023A/B Lecture Notes - Lecture 9: Dependent And Independent Variables

• School: Western University
• Department: Statistical Sciences
• Course: Statistical Sciences 1023A/B
• Professor: Jennifer Waugh

Document Summary

Explanatory variable: thought to have influence/effect on response variable characteristics that can take on different values (independent, x variable) Response variable: main outcome studied (y variable, dependent) Treatment: one or combo of categories of an explanatory variable assigned by researcher (assigning value of category, ex giving ppl different amounts of coffee) Observational study: differences in explanatory variable(s) are "observed" + recorded in relation to differences in response variable (watching something + its response) Experiment: explanatory variable(s) are manipulated or assigned by researcher. Completely randomized design: units from sample are randomized to one treatment groups. Different variables affect study eg. not having enough sleep. Randomized block design: units from sample are split into "blocks" of similarities, then randomized to treatments. What you do to the sample, blocking variable is year of study not. Treatment b/c can"t assign a year, pre-existing characteristic.