1212
Got tired of rating tires
(lemmy.world)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 29 Jul 2024
1212 points (97.5% liked)
Microblog Memes
5837 readers
793 users here now
A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.
Created as an evolution of White People Twitter and other tweet-capture subreddits.
Rules:
- Please put at least one word relevant to the post in the post title.
- Be nice.
- No advertising, brand promotion or guerilla marketing.
- Posters are encouraged to link to the toot or tweet etc in the description of posts.
Related communities:
founded 1 year ago
MODERATORS
Also, the t-studend distribution (way more important than the normal distribution imo) was born in a research lab for Guinness.
what‽ how is the student t distribution more important than the normal distribution?? you can't even use the t unless you've confirmed that you've got a normal! 📈📉
Correct me if I'm wrong but isn't the student t distribution a set of distributions that includes the normal distribution?
Because if so, it feels a little like saying "you can't even call something red unless you've confirmed that it's crimson"
The t-distribution approaches the normal distribution with increasing degrees of freedom. It is certainly more relevant in for example hypothesis testing, since t-Tests (variance is estimated from the data) is much more common than z-tests (variance is treated as fixed and coming from a normal distribution).
In all of statistics or probability theory, the normal theory is however way more influential.
Nonetheless, it's a cool bit of history where modern statistics got its roots. As a lover of both statistics and guinness, i approve!🍻
The t-student goes to the normal when your degrees of freedom get close to infinitum (in practice with 30 df they're practically the same).
I argue that is more important because in practice you usually don't have enough samples (or can't resample) to use the normal distribution.