But there's an argument that you should always use Welch's correction - after all, if you didn't violate the assumption, Welch's correct is almost exactly the same, and if you did, Welch's correction gives the right answer. You've got 10, you're going to be there for weeks.Īnother example: every single textbook in the world teaches the regular formula. You've got 5 predictor variables, and you want to do regression - you're going to be there for days. But if you teach equations you can't teach that, because it would make the students cry, and take too long. The computer actually does regression, using matrix algebra. Because that was the way that he was taught to do anova (by hand), but that's not what the computer does. I've had an external examiner (British thing - someone from another university who checks we are grading correctly ) tell me that the way a student analyzed their data was wrong, because they used two-way anova with an unbalanced design. In addition, when you teach with equations, you necessarily use simplifications, which isn't what the computer uses. But they will never realize that a one-way anova (with 1 df in the denominator) is the equivalent of a t-test, and that F = t 2. You can teach people to do one-way anova by hand, and t-tests by hand, for as long as you like. It's deceptive, because it makes people think they know what is happening, when they don't. R-bloggers - blog aggregator with statistics articles generally done with R software. Kaggle Self posts with throwaway accounts will be deleted by AutoModerator Memes and image macros are not acceptable forms of content. Just because it has a statistic in it doesn't make it statistics. Please try to keep submissions on topic and of high quality.
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