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: [ Ссылка ]
Population Parmeters: [ Ссылка ]
p-hacking: [ Ссылка ]
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: [ Ссылка ]
For a complete index of all the StatQuest videos, check out:
[ Ссылка ]
If you'd like to support StatQuest, please consider...
Support StatQuest by buying The StatQuest Illustrated Guide to Machine Learning!!!
PDF - [ Ссылка ]
Paperback - [ Ссылка ]
Kindle eBook - [ Ссылка ]
Patreon: [ Ссылка ]
...or...
YouTube Membership: [ Ссылка ]
...a cool StatQuest t-shirt or sweatshirt:
[ Ссылка ]
...buying one or two of my songs (or go large and get a whole album!)
[ Ссылка ]
...or just donating to StatQuest!
[ Ссылка ]
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
[ Ссылка ]
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
Ещё видео!