「Studentのt検定」「Welchのt検定」の違いも含めて、対応のない2標本t検定を完全解説！

This time, we'll explain the independent two-sample t-test in an easy-to-understand way. This is a frequently tested topic, but the formula for calculating the t-value is somewhat complicated. If you've simply memorized the formula, you might find yourself struggling with things like whether to use "n" or "n-1". This video explains the theory, so you'll understand why this formula is used and why these degrees of freedom are used. Please use this to help with your QC certification studies. We'll continue to deliver videos that are helpful to everyone, so we'd appreciate your support (^-^) 👇Blog explanation version here: https://dslabblog.com/two-sample-t-test/ ======================================== 【Related Videos】 ▼Easy-to-understand explanation of the t-test. Why are degrees of freedom relevant? What is the meaning of calculating the t-value?    • t検定のわかりやすい解説。なぜ自由度が関係するのか？t値の計算の意味は？   ▼Understanding why we divide by n-1! A thorough explanation of the difference between sample variance and unbiased variance and how to use them!    • なぜn-1で割るのか？がわかる！標本分散と不偏分散の違いと使い分けを徹底解説！   ▼The principle of the "paired two-sample t-test" is the "one-sample t-test." What is the difference from the "independent two-sample t-test"?    • 「対応のある2標本t検定」の原理は「1標本t検定」。「対応のない2標本t検定」との違いは？   ▼T-tests in Excel. A complete explanation from operation to interpretation of output!    • Excelでt検定。操作からアウトプットの解釈までまるっと解説！   ▼Hypothesis testing. Why do we say "we cannot say that it is not"? 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？   ======================================== Subscribe to our channel here: ☞   / @datasciencelab.   #Explained by a recipient of the QC Certification Level 1 Excellent Achievement Award