可以的方法 “證明” 幾乎所有東西 – 詹姆斯一. 史密斯

探索稱為 p-hacking 的數據分析方法, 數據被誤認為具有統計學意義.

—

在 2011, a group of researchers conducted a study designed to find an impossible result. Their study involved real people, truthfully reported data, and commonplace statistical analyses. So how did they do it? The answer lies in a statistical method scientists often use to try to figure out whether their results mean something, or if they’re random noise. 詹姆斯一. Smith explores p-hacking.

Lesson by James A. 史密斯, directed by Anton Bogaty.

支持我們的非營利使命
———————————————-
在 Patreon 上支持我們: http://bit.ly/TEDEDPatreon
查看我們的商品: http://bit.ly/TEDEDShop
———————————————-

聯繫我們
———————————————-
註冊我們的通訊: http://bit.ly/TEDEDNewsletter
訂閱wocomoMUSIC: http://bit.ly/TEDEDFacebook
在推特上找到我們: http://bit.ly/TEDEDTwitter
在 Instagram 上窺視我們: http://bit.ly/TEDEDInstagram
———————————————-

保持學習
———————————————-
查看完整課程: https://ed.ted.com/lessons/the-method-that-can-prove-almost-anything-james-a-smith
使用其他資源深入挖掘: https://ed.ted.com/lessons/the-method-that-can-prove-almost-anything-james-a-smith#digdeeper

動畫師的網站: https://www.instagram.com/anton_bogaty
音樂: https://www.campstudio.co
———————————————-

非常感謝我們的顧客對我們的支持! 沒有你，這個視頻是不可能的! Sylvain, Can Aydogmus, JasonD, Terran Gimpel, Gareth Thomas, Talia Sari, Phan Quang Lam, Katie McDowell, Allen, Sarat Chandra Vegunta, Mahina Bachiller, Bruce Vieira Lopes, Charmaine Hanson, Paul Aldred-Bann, Thawsitt, Jezabel, Abdullah Abdulaziz, Adriano Fontes, Xiao Yu, Melissa Suarez, SpartacusDMR, 布賴恩一個. Dunn, Francisco Amaya, Daisuke Goto, Matt Switzler, Leonardo Monrroy, Sumedh Ghaisas, Maryam, Bethany Connor, Jeremy Shimanek, Mark Byers, Avinash Amarnath, Xuebicoco, Rare Media, Rayo, Po Foon Kwong, NinjaBoffin, Jesse Jurman, Josue Perez Miranda, Scott Markley, Elija Peterson, Ovidiu Mrd, Xavier dupont, 保羅·G·莫尼, Aravind Battaje, Nathan Giusti, Helen Lee, Anthony Benedict, Karthik Balsubramanian and John Hong.