検出力の本質。その検定結果は果たして信頼に足るのか？

This time, we'll explain statistical power in an easy-to-understand way. It's important to understand that statistical hypothesis testing aims to indirectly support the validity of the alternative hypothesis by "rejecting the null hypothesis." Therefore, it's important to be able to correctly statistically reject the null hypothesis when it's false, and "statistical power" is an indicator of this probability. We hope this will also be useful for studying for QC certification. We'll continue to provide helpful videos, so we appreciate your support (^-^) =================================================================== [Related Videos] ▼Hypothesis Testing. Why do we say "we can't say no"? What is a p-value? 　   • 統計的仮説検定。なぜ「ではないとは言えない」と表現するのか？p値とは？   ▼Must-See! A fascinatingly easy-to-understand explanation of the standard normal distribution table!    • 必見！標準正規分布表の見方が面白いほどよくわかる解説！   ================================================== Subscribe to the channel here ☞   / @datasciencelab.   #QC Certification Level 1 Outstanding Achievement Award Winner Comments