15:46
AI's Take on My Experiment and Stats Myths Video
13:50
Data Distributions, Demystified! [Normal, Weibull, Bimodal, and more!]
09:14
What is a Design of Experiment (DOE)? What are its advantages?
12:27
Conquer Product Variation: The Noise Factor Primer
08:42
P-Value: Why Everyone Gets It Wrong (But Here's How You Can Use It)
06:16
Boxplots: The Deceptive Data Display (Here's Why They Can Mislead Your Audience)
03:24
Parametric vs Nonparametric Statistical Tests
02:20
Mastering best practices means knowing them, then breaking them.
03:13
Variable data rocks! And (dice) rolls?
03:08
Sample size, common and special cause variation.
00:59
Product Engineering in under 1 minute [significantly abridged and possibly unhinged]
03:20
The Pareto Principle (aka the 80/20 rule) explained.
02:57
Does your team agree on the top challenges you face with your product?
02:26
Transfer functions explained. A simple overview of a thing at the core of product development.
03:56
Coin Flips & Weather Forecasts: Why We Forget Probability (and How It Impacts Your Product)
01:34
VPs can slow down projects with just a few words!
01:39
We can't statistically prove things to be the same. It's a major challenge in science and products.
02:31
My Sample Size Blunder: 30 is a Myth (The Beer-Fueled Origin Story)
03:05
Confused by Statistics? Descriptive vs. Inferential Explained (No More Fear!)
02:43
Explaining the false positive paradox, and how is it ruining your user experience.
01:40
Don't throw away outliers just because you don't like them. They may provide valuable information!
02:05
A future without statistical significance?!?!
01:58
Change Management is hard. STEM fields don't make it easier.
01:50
AI Hype Got You Hooked? Learn Experimental Design First (Here's Why)
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