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: https://www.youtube.com/watch?v=Rsc5znwR5FA Population Parmeters: https://www.youtube.com/watch?v=vikkiwjQqfU p-hacking: https://www.youtube.com/watch?v=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: https://www.youtube.com/watch?v=YAlJCEDH2uY 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... Support StatQuest by buying The StatQuest Illustrated Guide to Machine Learning!!! PDF - https://statquest.gumroad.com/l/wvtmc Paperback - https://www.amazon.com/dp/B09ZCKR4H6 Kindle eBook - https://www.amazon.com/dp/B09ZG79HXC Patreon: https://www.patreon.com/statquest ...or... YouTube Membership: null ...a cool StatQuest t-shirt or sweatshirt: null ...buying one or two of my songs (or go large and get a whole album!) https://joshuastarmer.bandcamp.com/ ...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: https://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