The author reflects on the disconnect between how statistics is taught in academia and how it is used in real-world applications.
In practice, applied statisticians deal with messy real-world data and focus on interpretation, intuition, and storytelling rather than just theoretical exactitude.
The author suggests reframing statistical education to focus more on applied thinking, judgment, and real-world data analysis processes like exploratory data analysis.
The author invites readers to an online workshop aiming to make statistics more intuitive and enjoyable by focusing on real-world data analysis using JAMOVI and AI tools.