• Vehicles • Fashion • Recipes • Blogs • Hunt • Travels • Sport • Fun • Handmade • IT • Education
Mini-Games
x

x
zakruti.com » Knowledge, science, education » Crash Course
ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34

ANOVA Part 2: Dealing with Intersectional Groups: Crash Course Statistics #34

FBTwitterReddit

video description

Rating: 4.0; Vote: 1
Do you think a red minivan would be more expensive than a beige one? Now what if the car was something sportier like a corvette? Last week we introduced the ANOVA model which allows us to compare measurements of more than two groups, and today we-re going to show you how it can be applied to look at data that belong to multiple groups that overlap and interact. Most things after all can be grouped in many different ways - like a car has a make, model, and color - so if we wanted to try to predict the price of a car, it-d be especially helpful to know how those different variables interact with one another
Date: 2022-04-04

Comments and reviews: 9


The problem becomes when people try to calculate oppression through intersectionality.
1) This forces this constant victim mentality on people, which is actually very weakening.
2) Just like in economics, no one can actually calculate anything.
3) The general public is just going to use it for psudo-mathmatical reasons for being racists.
4)That's because always viewing people by their skin color rather than by their merits is very racist and divides us.
We need to start having these open yet painful discussions, or things will only get worse.

reply

I'm just going to be pedantic here, but in almost all cases both groups of people have a gene Y, it might be the allele that is different. Notable exceptions are the few genes on the Y-chromosome, such as the SRY gene (which you'll find more often in biological males) and genes delivered by retrovirusses (which would often be somatic and usually not germline.
reply

If groups presented in the video (like -parents-, -ethnisity-, -job title-) are called by her as -intersectional-, it makes me wonder, what is a non-intersectional group?
-There is not -always- a single box, we can put someone into-. So, this implies, that sometimes there is. I wonder, when is it when we can put someone in a single box?

reply

7: 27 uh-oh
Novices tend to rate fancy bottles higher so the mean of the NOVICE-FANCY group is higher than NOVICE-PLAIN. So the green dots and purple dots should've been labeled NOVICE, and the rest of these point groups is the EXPERT ones.

reply

So what works for determining outcomes for olive oil also works for determining outcomes for people? I think the assumption that we can generate useful models for the very complex, just because we can do it for the simple cases, is pure hubris.
reply

Overall a really helpfull and nice series, thanks for puuting so much effort in the vids. But please check your axel labels, they're pretty messed up. there were expertes and novices confused and med and no med.
reply

According to 7: 20 the experts will be influenced by bottle type and the novice are not influenced. This is exactly the opposite of what you said in the end.
reply

Why would you want bright orange car?
Give me near-UV color, that's where it's add. It's the best color, even though our pathetic eyes cannot see it.

reply

Yeeesh I-m an idiot - I occasionally forget my prime directive and casually, almost inadvertently, scroll down to look at the comments.
reply
Add a review, comment






Other channel videos