[MINI] The T-Test

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers ...  Show more

Aaron Payne, an MBA student at Georgia Tech studying business analytics and a Senior Insights Analyst at Chick-fil-A, joins Kyle Polich to talk about turning analytics into decisions that matter. They unpack a real-world forecasting project with Comfama in Colombia, including mes ...  Show more

Depuis l'apparition, en novembre 2021, du nouveau variant Omicron, beaucoup plus contagieux, le nombre de contaminations au Covid-19 explose. Face à cette flambée de l'épidémie, on peut s'interroger sur l'efficacité de certains tests, et notamment des autotests, pour repérer c ...

One of the most common causes for problems we see in manuscripts at JAMA is an inappropriately calculated study sample size. This seemingly mysterious process is explained by Lynne Stokes, PhD, professor of Statistical Science at Southern Methodist University in Dallas, Texas. 

In this episode, Kate and Laura discuss how usability testing strategies may change depending on...wait for it...that's right, the context of the company and type of product. Drink every time they say, "It depends." No, seriously, don't do that. You'll die.  Drink pairing: Lemon ...  Show more

A conclusive or critical test, as used to determine the worth, quality, or effectiveness of someone or something. The phrase comes from the 19th-century practice of testing metals in nitric acid to determine if they contained gold. Restructuring the organization will be the acid ...  Show more