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I dreaded statistics in high school. When I started out with probability I was excited and thought this stuff was useful. But when I got the about two-tailed t
by wenc 3y ago
I dreaded statistics in high school. When I started out with probability I was excited and thought this stuff was useful.
But when I got the about two-tailed tests and p-values, it was all just so opaque. I didn't feel it was that useful, plus the whole argument about rejecting or not rejecting the null hypothesis felt too philosophical and contrived. And why 95% confidence?
I hated statistics throughout undergrad because of those philosophical contortions, which seemed very arbitrary to me.
It wasn't until grad school when I discovered the statistical learning side of things (PCA/PLS) that statistics became exciting to me -- because suddenly statistics became useful and able to predict things.
I'm still convinced the 80% of people don't need to know p-values and null hypotheses. Some might say, but what! These are used all over the social sciences! Umm no.
Let the people who need to learn that learn, and actually teach statistical learning (linear regression, logistic regression, Bayesian statistics) to the rest of us in school.
- kenjackson 3y agoI could have written that exact comment. Everything you said applies to me as well.
- viraptor 3y agoSame, with the extra comment that every other math course I took had some way of verifying your result. You do your work and the result can be plugged into the original question to calculate some other element and see if it matches, or the value can be checked visually, or the equation will cancel out completely, or ... Not with the statistics as taught at the time. Your result is 0.48 - did you use the right test? was it supposed to be two tailed? did you calculate properly? did you choose the right distribution? does that method work with this distribution? Who knows. It's basically a memory exercise.