303: Proper Hypothesis Testing For Every Field

In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches.

An episode of the Super Data Science: ML & AI Podcast with Jon Krohn podcast, hosted by Jon Krohn, titled "303: Proper Hypothesis Testing For Every Field" was published on October 9, 2019 and runs 70 minutes.

October 9, 2019 ·70m · Super Data Science: ML & AI Podcast with Jon Krohn

Summary

In this episode of the SuperDataScience Podcast, I chat with Astrophysicist and Online Data Science Instructor, Sam Hinton. You will hear about the Lindau Nobel Laureates meeting, where he met Nobel Prize winners and you will also hear about his appearance on the Survivor TV show. You will learn about quantum mechanics. You will also learn about the course he launched in Python for Statistical Analysis, as well as going in-depth on hypothesis testing. You will hear about Python versus R, statistical significance, why p-value of 0.5 is bad, Bayesian statistics, and what is the difference between frequentist and Bayesian approaches. If you enjoyed this episode, check out show notes, resources, and more at www.superdatascience.com/303

Episode Description