ANOVA: Crash Course Statistics #33

Today we're going to continue our discussion of statistical models by showing how we can find if there are differences between multiple groups using a collection of models called ANOVA. ANOVA, which stands for Analysis of Variance is similar to regression (which we discussed in episode 32), but allows us to compare three or more groups for statistical significance.

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[phlippindolfy]

I'm here in the deserate hopes that this will help me understand stats after a full semester of classes.

[Xman]

I appreciate the effort into making the video, but I was a bit overwhelmed by all the graphics and the speed of the explanations.

[genericruler]

5:00 The distance between each point and it's group mean is the residual error (SSE). The SSM would be the difference between each group mean and grand mean.

[llamafromspace]

Today I learned that the word ANOVA exists, and that I shouldn't jump halfway into a course.

[kmdash]

I'm a grad student studying psychology. In a couple weeks, I have to take a class on ANOVA. This really helps.

[desankad.]

You make statistics so understandable and not as abstract! I am not so scared of t-tests, z-tests, F-tests and ANOVA anymore! Why do most statistics teachers make it seem so scary? Statistics is great! (esp for curious minds like myself ^_^)

[rhiwright]

I am so glad SPSS does most of the work and I'm just learning to interpret the results. Interesting that you moved onto ANOVA at the same week my quantitative and qualitative research methods module at uni did :)

[francis]

Great video, although I wouldn’t recommend running three t-tests after the ANOVA without first applying the Bonferroni correction! This is using an alpha level of 0.05/the number of comparisons you’re making (in this case 3). Use this corrected alpha level to determine significance, otherwise you may run into family-wise problems and make a type 1 error

[Noob___Noob]

ANOVA, I learned it, being tested on it, aced it, but really didn't understand what it is.

[anastasiostresinis]

This presentation helped me gain further insight to ANOVA. Wish I had you (this goes to the whole cast) as a stats teacher! Big THANKS!!!

[adamheckenberg]

This is incredible. Taking Stats for Psyc right now, getting a lot harder as it goes on. Thank you!

[rib_rob_personal]

Wow. These are coming out right when I need them lol. Taking a hard statistics course.

[JEOGRAPHYSongs]

NOVA has been one of my favorite PBS programs for 3 decades now.

[amulyagupta]

I love crash course videos for their simplicity but couldn't make out much from this one

[lianggegou]

I love the examples but this goes way too fast, I had a hard time following the explanations 😢

[Ureyeuh]

This information is spit out insanely fast.

[taylorharris]

I love crash course! But this is not an introductory level video. There are others that explain anova more simply

[zackwise]

I really love all of crash course's content, but I've been having a tough time following this series. After rewatching this episode and the previous one multiple times, I'm still confused. In this episode, but SSM and SSE are both described as the sum of squares between each point and its group mean, but SSM and SSE are different! If someone could explain this to me I'd really appreciate it.

[bee-stef]

You are an incredibly eloquent speaker. Thanks for this explanation!

[stephenlippi]

You can't run multiple T-tests... this inflates the rate of Type I error!