Random vs Systematic Errors - Scientific Critical Thinking

Real world data always includes some level of error/noise/uncertainty, so we need to be able to understand how to deal with messy data. In this session we discuss the two main categories of error, random and systematic, identify their key properties, look at examples, and discuss how to deal with these sources of errors. Full Series Playlist: https://www.youtube.com/playlist?list=PLQzpF6G7qUZCP4cN3eNI4CTnDhNFo6740 0:00 Introduction 3:47 Random Errors 6:00 Examples 15:17 Systematic Errors 19:00 Examples 25:28 More Examples 31:28 Concluding Remarks Opening Image Credit: NASA, ESA, CSA, Brant Robertson (UC Santa Cruz), Ben Johnson (CfA), Sandro Tacchella (Cambridge), Marcia Rieke (University of Arizona), Daniel Eisenstein (CfA) https://webbtelescope.org/contents/media/images/2023/127/01H1Q1CGJD51CDJTK2NHJWD06M