#140 Simulation-Based Hypothesis Testing with infer

Simulation-based hypothesis testing is preferred when the assumptions of parametric tests (e.g., normality, equal variance) cannot be assumed. It allows greater flexibility by using the actual data distribution rather than theoretical ones. Joe Brillantes will demonstrate simulation-based hypothesis testing with their parametric counterparts using the infer package. "infer implements an expressive grammar to perform statistical inference that coheres with the tidyverse design framework" (https://cran.r-project.org/web/packages/infer/vignettes/infer.html).

Joe is a co-organizer of the R User Group – Philippines. He is currently a data insights and AI specialist in the transnational dairy cooperative FrieslandCampina (Alaska Milk Corporation). He has been working as an advanced analytics specialist since 2008, and has been leading analytics teams since 2015. He has a Master of Mathematics (Business Track) degree from Ateneo de Manila University, and a Bachelor of Science degree in Mathematics Education from Brigham Young University - Hawaii.

Click here to join the meeting
<https://teams.live.com/meet/937522853568?p=kOPygkKZJ2IvwKMvsF>
Meeting ID: 937 522 853 568
Passcode: bB65yU
Join on the web <https://www.microsoft.com/microsoft-teams/join-a-meeting>