p-hacking and power calculations
P-values can be tricky things, and if we're not careful, we can report false positives much more frequently than 5% of the time. Here, I show how that can happen, and then I show to avoid it by doing power calculations - with an emphasis on the concepts behind the equations. For a complete index of all the StatQuest videos, check out: https://statquest.org/video-index/ If you'd like to support StatQuest, please consider... Patreon: / statquest ...or... YouTube Membership: / @statquest ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... https://statquest.org/statquest-store/ ...or just donating to StatQuest! https://www.paypal.me/statquest Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: / joshuastarmer #statquest #pvalue

StatQuest: One or Two Tailed P-Values

Power Analysis, Clearly Explained!!!

Lies, Damn Lies, and Statistics... P-Hacking

ANOVA (Analysis of Variance) Analysis – FULLY EXPLAINED!!!

p-values: What they are and how to interpret them

The Strange Math That Predicts (Almost) Anything

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

How to calculate p-values

p-hacking: What it is and how to avoid it!

All of Statistics in 1 Hour (ultimate study guide)

Likelihood Ratio Tests Clearly Explained

FDR, q-values vs p-values: multiple testing simply explained!

What are p-values?? Seriously.

The Binomial Distribution and Test, Clearly Explained!!!

Train Your Brain to Never Forget (5 Feynman Habits)

Hypothesis testing (ALL YOU NEED TO KNOW!)

System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

what are degrees of freedom?

How do you figure out the *ideal* sample size ... as a data scientist?

