Peter Hersh, JMP Senior Systems Engineer, SAS
Hadley Myers, Sr. Systems Engineer, JMP
When collecting data for an analysis, we are all very cognizant of the need for an unbiased sample and a true representative of a greater population. Great efforts, often at great expense, are taken to ensure that is the case. However, this standard is not always applied to other forms of data collection. For many, research into topics of interest start and end with online searches. Using a designed experiment and the visualization/analytic capabilities of JMP 17, we sought to investigate how different search engines in different parts of the world are potentially biasing search results and, therefore, the conclusions we respectively reach on these topics. Join us for this amusing and thought-provoking presentation that you should totally rate five stars prior to viewing to save time.
