[PSYC 3000] - Final Exam Guide - Comprehensive Notes for the exam (39 pages long!)

• School: Carleton University
• Department: Psychology
• Course: PSYC 3000
• Professor: Craig Leth- Steensen

Document Summary

Data: the information we gather with experiments and surveys. Examples can be in form of measurements before and after, percentages, ratios, etc. Statistics: the art and science of designing studies, analyzing data produced by these studies, and translating data into knowledge and understanding of the world around us. (numerical data) There are two different kinds: descriptive and inferential (as seen below) The three main components of statistics for answering a statistical question are: design: planning how to obtain data. Questions include: how to conduct the experiment, how to select people for the survey to ensure trustworthy results, and/or what kind of data to collect. Who, what data, how data taken: description: summarizing the data obtained and presenting it in a useful format. Meaning how to summarize and present data in forms of, for example, averages, charts, graphs, etc. Inference: making decisions and predictions based on the data. Probability: a framework for quantifying how likely various possible outcomes are.