Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren’t. We’ll get into why this is so – due to the Central Limit Theorem – but it’s useful because it allows us to make comparisons between different groups even if we don’t know the underlying distribution of the population being studied.
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Their fate will be in their own hands as they decide whether to share or to shaft.
Great explanation. Thanks!
Why should a hiring manager hire single mothers? Single mothers don't spend enough time at work, and are a bad investment.
Still, I have a problem with using standard deviation where the standard deviation is large compared to the mean and you get a large probability that some quantities that cannot be less than zero are. Example: if have a mean height of 2 m and a standard deviation of 5 m then there is a significant portion of the curve is less than zero meters in height. What is negative height? It is nonsense.
please next the pareto distribution and Kumaraswamy distributions
Wtf she keep talking n talking n talking.
I kinda wanted the general formula for a normal distribution and its explanation. But hey
That "Voilà" was wonderful
What the fuck😂😂😂
a little confused explanation, don t look crash course at all
I was lost at 0sec
PARETO!!!
"Normal" "sample" "distribution" and "mean" are all getting to that point where the word feels like it isn't real anymore.
A lot of concepts in this video that probably could have used some more room to breathe…
Gauss for the win!
Normal? I have heard it described as taking both ends of a spectrum, and dividing it accordingly. Subjective bias often skews perfectly good data.
…so in practice, if 100 voters cast 'randomly' (e.g. uninformed) they'll pass any Bill 50% of the time without meaning-to (i.e. uninformed)—and,—to reduce that to 5%, requires a Vote minimum of 58—but also, we can estimate that any Vote within the ±7 of their mean 50, is indistinguishable from random voting (the 'drunk-walk' however-much they're informed)…
…so if statistics is worth anything it is that it tells us there is no game won by a majority…
…if athletes are drug-tested to prove they're not-'drunk-walking', Senators should be too…
You guys have worst views and subscribers ratio.
My head is spinning so I am jumping to the video about centripetal force. Repeat words are a no no especially at the pace that crash course videos go.
Catan!
awesome
I remember Derek's video about regression to the mean. 🙂
The Normal Distribution……
shape of a Normal Distribution…….
follows a Normal Distribution…..
in a Normal Distribution……
Normal Distribution into…..
data is Normally Distributed …..
finally Normal Distribution…………!
Could not understand a single thing. What is the point of crash course if it just like any other boring lecture. You keep introducing new concepts but fail to explain ongoing ones. CrashCourse Statistics will not do well like this
Nope. Didn't understand a word of that.
Just in case you ARE comparing individual kill scores….I had 17 kills as jungle Yi last night. Just sayin
this episode is mean
Very confusing video. Was there even an explanation of what the "normal distribution" even is? The video starts off talking about it and why it's useful, but I kept waiting for what it actually is mathematically. Also, many other terms and ideas are thrown out with no explanation at all. I feel like instead of 11 minutes, this topic needed to be much longer, and deal with these topics a bit slower and more thoroughly.
i find this woman quite attractive.
Information overflow
I teach this stuff to 16 year olds and i think they could have been able to follow everything up to here, but why pick up the pace like this here? Its too much info with too few 'quirky' examples imho. There are lots of people who can do math, but very few that can make videos like you can. Remember what you're good at!
Whats everyone's favourite normally distributed graph? also post links
What stops a population from having a nonstandard distribution?
I'll give you an upvote because you tried to use a French word "wallah"! 🙂
I still don't understand what a sample meanS is in practical terms other than a pair of dice. Where do we in real life ONLY analyse for sample meanS not sample meaN? Makes no sense the way it was presented.
Did anybody else pause the intro to read the fact bubbles?!?!…. gotta get all of that knowledge! Lol. 😂🙊🙉🙈
My brain is beginning to itch! 🙃😬😂🙊🙈🙉
I made it to the end!…🙃🧐🙃… need a lie down now! 🤯😂🙊🙈🙉
Why didn't this episode explain more about the shape of this graph as the values change? That would make it clear to everyone.
Mean sample mean distribution sample mean distribution normal distribution normal mean normal distribution normal sample means standard deviation sample mean sample mean normal distribution sample blue jay sample mean mean standard deviation sample means…
That's what this video sounded like to me. I feel dumb.
Lol how was there a video on z scores before normal distribution?
Curious if there will be a video on order statistics, because that has always been the most fun part of that class for me!
Thought Cafe always on point. I love their animations so much! Thank you for the upload 😀
Amazing
Repeating words heavily makes me dizzy when I'm not quite following.
i would like to see a video describing the pareto distribution
It's so beautiful :'D
The sample distribution can't still be perfectly normal, though. To use your example, if you measure gross income instead of net income, it is never negative no matter how many samples you take. For a true normal distribution, for any arbitrarily extreme value, if you keep drawing samples you will almost surely get something at least that extreme; for gross incomes, you will never find a sample with a negative mean no matter how big it is.
I haven't done the math to see how exactly that fails to contradict the central limit theorem, but my guess is just that the standard deviation gets smaller faster than the sample distribution approaches normal, or something like that.
Excellent video as always
who is the audience for this? someone like me that's already understood all of this at some point? it better not be for someone who's new to it, cause this is how you kill interest and make people feel dumb