Power Analysis, Clearly Explained!!! @statquest
Power Analysis, Clearly Explained!!!  @statquest
Uploaded May 2020 | Updated September 2026, 2 weeks ago
If you're doing an experiment, a Power Analysis is a must. It ensures reproducibility by helping you avoid p-hacking and being fooled by false positives.

NOTE: This StatQuest assumes that you are already familiar with the concept of Statistical Power, Population Parameters vs Estimated Parameters and p-hacking. If not, check out the 'Quests:
Power: youtu.be/Rsc5znwR5FA
Population Parmeters: youtu.be/vikkiwjQqfU
p-hacking: youtu.be/HDCOUXE3HMM

And if you'd like to learn more about how the concepts shown here apply to more than just the normal distribution, check out the StatQuest on the Central Limit Theorem: youtu.be/YAlJCEDH2uY

For a complete index of all the StatQuest videos, check out:
statquest.org/video-index

If you'd like to support StatQuest, please consider...

Patreon: patreon.com/statquest
...or...
YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
statquest.org/statquest-store

...or just donating to StatQuest!
paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
twitter.com/joshuastarmer

0:00 Awesome song and introduction
0:42 Why we do a power analysis
2:40 Power analysis defined
3:14 Two factors that affect Power
4:06 How sample size affects Power
11:48 How to do a power analysis
15:10 Review of concepts

#statquest #statistics
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StatQuest with Josh Starmer |

Power Analysis, Clearly Explained!!!

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