This is what true education of the future looks like. Simple, creative, fun to watch, highly educational, and very graphic. And a great job by Adriene Hill and the entire team for the quality of the content. Keep it up.
Is there any way that you could release transcripts, outlines, and/or notes for your videos? Especially the math-heavy ones. I think it would be easier to learn the information if there were a guide
10:06 : I think it should be mentioned here for the more mathematical-minded folks that that's a difference between what's called 'statistical probability' and 'theoretical probability', and a general principle is that statistical probability approaches the theoretical probability as the number of trials approaches infinity (which could be thought of as a limit at infinity).
Grace Sophia stats gets super cool! Eventually u'll see the connection between all sorts of stats that initially seemed to be completely different, like ANOVA and Linear Regression.
Jacobo OH, it's definitely my hardest AP. But it's also my most fun and most rewarding. I'm only taking four (and one was a semester class I don't have this semester) so I'm just going to say "I'm sorry". Six AP classes is a hell of a lot.
I really like the animations in this video, especially that you can then see how changes in the data distribution affects the plot. This way it starts to make more sense to me.
When you were explaining how standard deviation changes the shape of a normal distribution, shouldn't the numbers on the horizontal axis stay where they are instead of stretching and squishing with the standard deviation? Because I think that otherwise the shape of the distribution doesn't really change. Please, let me know if I'm missing something.
i had a course on statistics about two years ago, and wow, i'm really thankful for this course being here, because it's nice to be reminded of these things
5:13 if lots of people died young during the middle ages, wouldn't that move the curve/average for "age of death" further left, thus moving the skew (tail) to the right, i.e., right skewed? Right now with the average age of death around 80, it's left skewed.
@4min17sec, is 'standard deviation the average distance between any point and the mean'? I thought MAD (mean absolute deviation) is the definition of that?
Fernando Franco Félix I suggest sleeping on it. When my code doesn't work I usually fix it easy in the morning. Once I was so tired I didn't realize I was trying to run correlations on zero vectors. XD
Fernando Franco Félix - Maybe somebody got lazy and left out a higher order term in estimating a cross section that you’re using... just kidding; nobody would do something like that !
Is there a test we can make on the data to know if a bimodal distribution is actually an overlap of two distributions, or do we need to analyse each case separately?
Am I the only one for whom the 'knobs and dials on the machine' metaphor doesn't work? I like this series so far (and love Adriene! Crash Course Economics is a real good series y'all), but this video was a little confusing for me.
I really enjoy these videos! My only comment/complain/concern is that a lot of your examples and expression are North American. I am from South Africa and was fortunate enough to spend a year in the USA but other English speaking people from around the world will not be able to understand expressions like lollygagging etc. Otherwise 5 star!
Is there going to be a crash course maths? I feel it's weirdly missing, given the large amount of science and other things that rely on a good basic understanding of it and the connected subjects such as discrete maths and algorithmic maths Not sure if this is the best place to ask this though...
A “theoretical” roulette wheel yields a uniform distribution over final slots but check out the book The Eudaemonic Pie for an entertaining story about a group who took advantage of the slight imperfections associated with any real roulette wheel.
I rolled a single 20-sided die 10750 times. The 1 came up 2.7% below the mean and the 20 1% below. The 9 and 15 each came up 0.9% above the mean. Comparing the actual numbers of 15 and 1 that's 639 to 247. Out of 10750 that seems like a big difference to me. Is this enough samples to say that the die is an unfair die? Throughout the process I watched the distribution. It stayed pretty consistent once I got to around 1000 rolls. Counting the 1 as the bottom and 20 as the top, the 9 and 15 are on the middle row directly above the halfway point and are almost opposite each other. The full data 1 247 -2.7% 2 510 -0.3% 3 603 0.6% 4 503 -0.3% 5 587 0.5% 6 559 0.2% 7 547 0.1% 8 513 -0.2% 9 636 0.9% 10 512 -0.2% 11 551 0.1% 12 577 0.4% 13 578 0.4% 14 500 -0.3% 15 639 0.9% 16 482 -0.5% 17 627 0.8% 18 548 0.1% 19 599 0.6% 20 432 -1.0%
Firstly, I'm curious: when and why did you roll a die 10750 times? How long did that take you? Was it a physical die or a digital random number generator? Secondly, I couldn't resist running some chi-square tests. An overall test of your whole dataset (where the expected frequency of each number is 10750/20=538) generated a whopping chi-square value of 271. That's a measure of how far the observed distribution is from the expected uniform distribution, and with 19 degrees of freedom, we get a p-value of, uh... about one to the minus 46. This suggests that it would be *extremely* unlikely for a fair die to give such a wonky distribution of values. I was curious to what degree this result was affected by the very low number of 1s, so I tested a couple of number frequencies individually against the combined frequency of the other numbers. Turns out, even getting this many nines (observed 636:10114; expected 538:10212) seems very unlikely (chisq=19; df=1; p
I was going to roll 10,000 but I was bored and rolled some more. I rolled it off and on for several days while I watched RU-vid and Netflix. I wanted to see how fair it was because I bought some new dice, had watched some Matt Parker videos about dice, and thought it would be fun to try out the 20-sided one. (Yep, I don't have much to do; I'm disabled and sit around a lot) Thanks for doing the statistics. It's been over 20 years since I took statistics in college, and my memory is horrible; I didn't know where to start.
Somebody reply plz ...kinda off topic but...since we don't count every opinion to have an idea of a the actual picture , and we just take into account the majority...That means the majority is what must be considered? For example 1% < 99%
The timing of this title was perfect because I totally read it as "The Shape of Water" when I glanced at it really quickly. This comment will be irrelevant by the end of the week... because no one will get it.
5:14 "age at death during the middle ages is left-skewed... cause lots of people died young..." Is "left-skewed" a slip of the tongue? Since more people died young, the median should be to the left of mean, assuming ages lie on the x-axis from 0 to 100, which gives the right-skewed distribution.
That bimodal distribution with the Boston Marathon had two peaks, one for men one for women. It was even labeled on the graph. Oops. Props for the gamers' dice though!
This is just a guess, but since Q refers to the proportion of population elements that do not have a particular attribute (in this case, Awesomness?) Then DFTBAQ reads Don't Forget To Be Awesome, All of you people who are currently NOT AWESOME. :) Presumably the Already Awesome people didn't forget, and thus don't need the reminder.
...2 min. vs 4 min. (bimodality) sounds more like frequency-doubling-a nonlinear process with harmonics... there's often more important, extractable, shaping information, analysts ignore as massaging-too-much after tainting by predecisory mode-information-politics...
What does she mean it 'generates random numbers'??? and what does she mean it 'generates the number of leaves on a tree?' does she mean the machine counts the leaves or theoretically generates the leaves? I'm in post grad and this makes no sense
It just means that it's continuous. People can be 176cm, 176.1cm, 176.11cm, 176.2cm, 176.223cm, 180cm, 180.5cm, 180.6cm etc. There's just so many values height can take that it's infinite.
watching informative things without meaning to is how you acquire knowledge that one day you'll say "i have no idea how i know that" about idk if that sentence made sense.
