No video
Bootstrapping Main Ideas!!!
Рет қаралды 446,320
Күн бұрынBootstrapping is one of the simplest, yet most powerful methods in all of statistics. It provides us an easy way to get a sense of what might happen if we could repeat an experiment a bunch of times. It turns point estimates into distributions that can be used to calculate all kinds of stuff, including standard errors, confidence intervals and even p-values. In this video, we show how it can be used to calculate standard errors and confidence intervals. In Part 2, we'll see how to calculate p-values.
For a complete index of all the StatQuest videos, check out:
statquest.org/...
If you'd like to support StatQuest, please consider...
Buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - statquest.gumr...
Paperback - www.amazon.com...
Kindle eBook - www.amazon.com...
Patreon: / statquest
...or...
KZfaq Membership: / @statquest
...a cool StatQuest t-shirt or sweatshirt:
shop.spreadshi...
...buying one or two of my songs (or go large and get a whole album!)
joshuastarmer....
...or just donating to StatQuest!
www.paypal.me/...
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
/ joshuastarmer
0:00 Awesome song and introduction
2:18 Bootstrapping in action!
4:23 Bootstrapping defined
6:40 Calculating standard errors and confidence intervals with bootstrapping
8:13 What makes bootstrapping so awesome
Correction:
5:55 8^8 combinations of observed values and possible means assumes that order matters, and it doesn't. So 8^8 over counts the total number of useful combinations and the true number is 15 choose 8, which is 6435
#StatQuest #Bootstrap #Statistics
@statquest 3 жыл бұрын
NOTE: A lot of people ask "What happens when the original collection of measurements is not representative of the underlying distribution?" It's important to remember that a confidence interval is not guaranteed to overlap the true, population mean. A 95% CI means that if we make a ton of CIs using the same method, 95% of them will overlap the true mean. This tells us that 5% of the time we'll be off. So yes, a sample that is totally bonkers is possible, but rare. Understanding this risk of making the wrong decision, and managing it, is what statistics is all about. Also, at 5:55 I say there are up to 8^8 combinations of observed values and possible means, but this assumes that order matters, and it doesn't. So 8^8 over counts the total number of useful combinations and the true number is 15 choose 8, which is 6435 (for details on this math, see: en.wikipedia.org/wiki/Multiset#Counting_multisets ) Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
@natasgestel6873 2 жыл бұрын
We take for granted all that went behind that idea of 95% CI that you stated - it was Jerzy Neyman's who came up with that definition. Have you read "The Lady Tasting Tea"? A bit of a history of some incredible mathematicians, including Ronald Fisher and Jerzy Neyman. The 95% comes up on page 123. Thanks for all your valuable statistics videos!
@statquest 2 жыл бұрын
@@natasgestel6873 Yes, I've read the book. Those dues were pretty smart.
@PastryDonut 2 жыл бұрын
Thank you for explaining that order doesn't matter. I was looking for the clarification on this everywhere.
@alexandersmith6140 9 ай бұрын
So, if we take our sample of 8 observations, and we calculate a 95% confidence interval around the sample mean by bootstrapping, and then a genie appears and tells us that the true population mean lies outside of that confidence interval, that's the same as saying that our original 8-observation sample's mean actually wouldn't appear 95% of the time if we repeated the experiment infinitely many times, each experiment being an 8-observation sampling of the population?
@statquest 9 ай бұрын
@@alexandersmith6140 The definition is of a 95% CI is that if we repeated the process of creating the 95% CI a ton of times, 95% of the CIs created that way would overlap the true mean. Thus, if collected 8 measurements and used Bootstrapping to calculate a 95%, then that if we repeated that process of creating the 95% CI a ton of times (collected 8 measurements, then calculated the CI with bootstrapping), then 95% of those CIs will overlap the true mean. In other words, it doesn't matter if we use bootstrapping, or some formula to calculate the CI, in both cases we have to collect 8 measurements a ton of times.
@yannivdp1600 Жыл бұрын
I have done a master's in stats and a course in data analysis, and the only reason I've passed these things is that after a long and confusing lecture I can just come and watch you explain it in simple terms. Bam! Thank you so much!!
@statquest Жыл бұрын
Thanks! I'm glad my videos are helpful! :)
@BheezHandle 9 ай бұрын
I am presently in your shoes, taking a Data Science Course but thanks to @statquest. giving him Double Bam!!
@PunmasterSTP 4 ай бұрын
That's cool! How are your studies/career going?
@NeuralNine Жыл бұрын
There is nobody on KZfaq that explains statistics better or in a more entertaining way than you! Keep it up!
@statquest Жыл бұрын
Wow, thanks!
@NTesla00 3 жыл бұрын
Passed all my stats courses already (thanks to your videos for a major part), but I'm still watching these as they come out, lol. Keep it up Josh, this channel is so good.
@statquest 3 жыл бұрын
Thank you very much! :)
@haloforgeguy453 3 жыл бұрын
Still floored that this works as a method
@statquest 3 жыл бұрын
I know - it's so easy, yet so effective.
@patrickjdarrow 3 жыл бұрын
@@statquest is it really so effective? We really can only be as confident -- that bootstrapping produces characteristic data -- as we are that the sample is representative of the distribution -- right? Unconfident extrapolation seems like a good way to pollute datasets.
@statquest 3 жыл бұрын
@@patrickjdarrow Just like any statistical method, you have to have a reasonable sample size. n = 8 as a minimum is a good starting point.
@gamuchiraindawana2827 7 ай бұрын
What I love about you is that you explain the big picture first. You help me understand why we should care in the first place, or the motivation behind the concept. Then you dive into the details afterwards, you make the information more accessible without compromising the technical integrity of the information. A very rare skill indeed, I'm reading Introduction To Statistical Learning in R ( ISLR ) and some chapters aren't intuitive, whenever I read a chapter that doesn't make sense I just watch your videos. That's how I know you're not compromising the technical integrity of the information, because what you say doesn't contradict what I read in academic papers, it's just easier to understand than what I read in academic papers. You are one of a kind!
@statquest 7 ай бұрын
Thank you very much!
@gamuchiraindawana2827 7 ай бұрын
@@statquest No, thank YOU Josh!
@CaptainFeatherSwordz 4 ай бұрын
I think you summed up the value of these videos really well. Starting with the big picture and then zooming into the details is so much more beneficial for learning and I think this is one of the things Josh nails!
@gamuchiraindawana2827 4 ай бұрын
@@CaptainFeatherSwordzIt's worlds apart from what the education system has conditioned us to right?
@bubblebath2892 3 күн бұрын
I am justt speechless at - how can you mae something so complicated so simple , hats off to you and thanks a ton
@statquest 2 күн бұрын
Thank you!
@monoarul_islam_3 2 жыл бұрын
You're probably the best guy for this job. Even though I don't know where I'm gonna apply all these. I just keep going through all of your videos. After finishing up this playlist I'll watch the ML playlist. Keep amazing us. Thank you JOSH
@statquest 2 жыл бұрын
Thanks!
@Hemzees 3 жыл бұрын
I can never get over how your videos make me love statistics when all my professors and recommended texts made me run away from it. Super grateful!! Also, I think I asked when this video was coming about a year ago.
@statquest 3 жыл бұрын
Glad it finally came out! :) Sorry it takes me so long to make videos.
@KillerFridge 3 жыл бұрын
I love SQ, because I finally "get" bootstrapping, despite having used it for years!
@statquest 3 жыл бұрын
BAM! :)
@KillerFridge 3 жыл бұрын
@@Synthanicmusic I do as a data scientist. Honestly, If you know that you don't know what you're doing then you are going to be better positioned than most; it means you will be questioning why you are applying certain tests/methods, rather than just doing so blindly. Especially in the workforce you will see a lot of badly reasoned statistics!
@aishah8398 3 жыл бұрын
I wonder n feel so much regard for the institution and teachers, who taught you... no doubt, you are doing an incredible job...stay blessed always
@statquest 3 жыл бұрын
Thank you! :)
@user-ww2qs3cj9n 3 ай бұрын
You sir are an absolute legend. Really helping me getting through my course, because my professor explains the same concept in a method that is 100 times harder to understand
@statquest 3 ай бұрын
Happy to help!
@aneishajay7949 Жыл бұрын
I read a section on bootstrapping countless times and only understood it finally after watching your video! All I have to say to that is: BAM! (and thanks a bunch)
@statquest Жыл бұрын
Hooray!!! :)
@nautical1078 3 жыл бұрын
Thanks for the videos, embarrassingly I'm relearning a lot of these concepts even though I graduated with a Statistics major. It's coming a lot easier now.
@statquest 3 жыл бұрын
Glad to help!
@vladimirbriceno6051 3 жыл бұрын
Don't be embarrassed, it's not your fault, but the education system's
@nancygonzalez3193 2 жыл бұрын
Happens a lot more often than you think. I graduated with a physics major not long ago and I can say I still cannot consider myself a physicist. I constantly keep finding myself learning things from awesome channels like Josh's that I'm supposed to know by now.
@ankiwikman1218 2 жыл бұрын
I've always grasped well enough to get a good grade but not well enough to embed, so I have to go back a lot.
@meanyapickles Жыл бұрын
All semester long I have been floundering through my statistics class, no thanks to my professors' boring and quite difficult-to-follow lectures on the materials. I've felt so dumb all semester, so when the next section called for "bootstrapping" I finally decided to throw her lecture videos aside and see if someone could explain the concepts better on KZfaq. Boy am I glad I stumbled upon this. The visuals are straight to the point and the way you talk through everything very slowly and clearly is SOOO helpful. The enthusiasm and goofiness helps me keep my attention, which is a pain for me with ADHD. I could rewatch my prof's videos 5 times and retain nothing. Makes me wanna just burst into tears from frustration. But I felt like I could actually keep up with this video and _understand_ it! TL;DR thank you for making this, it was a HUGE improvement over my professor's teaching style and I will DEFINITELY be consulting you for future topics. You're a peach
@statquest Жыл бұрын
Hooray! Thank you very much. Just for reference, here's a list of all of my videos: statquest.org/video-index/
@meanyapickles Жыл бұрын
@@statquest thank you very much
@yuvrajkhanna2819 3 ай бұрын
Watched the Stanford's and other lectures on similar topics, but you made it really simple and easier to understand. You teach good!! BIG BOOM BAMM !! thanks man
@statquest 3 ай бұрын
Thank you! :)
@vtphan2012 2 жыл бұрын
Another great video. This video explains how to do bootstrap, which is the easy part. The more difficult part is to understand why bootstrap works. The conceptual challenge is that bootstrapping assumes that if we were to repeat an experiment, it would produce one of the outcomes we had observed. This could be a huge assumption, depending on the applications. Boot strapping does not add any new information to what has been observed.
@statquest 2 жыл бұрын
Noted
@sgpleasure Жыл бұрын
"The reason why this works is because the histogram of the sample tends to look very similar to the histogram of the population. That's really the key idea behind the bootstrap, and we will see how this idea can be used in all kinds of complicated situations. " Taking an online course on bootstrap regression and came here to try to understand why bootstrap works when it does not generate any new information.
@vtphan2012 Жыл бұрын
@@sgpleasure When you sample from a population, it’s unsurprising that the distribution of the sample resembles the distribution of the population. So, you’re not really obtaining any new information. In essence, we’re only pretending it’s new information, when in fact, it’s just reconfirming existing information.
@rhexieleelafuente4271 2 жыл бұрын
What a comprehensive and fun discussion! I really had trouble understanding the concept of bootstrapping by myself but your lecture helped me a great deal :> Kudos!
@statquest 2 жыл бұрын
Glad it was helpful!
@Esmeralda_Art 6 ай бұрын
My man sounds sounds excited and bored at the same time and Im here for it 😂 Great explanation, something my Prof couldn’t manage. Elite university my ass lol
@statquest 6 ай бұрын
bam!
@diegobuenovillafane869 Жыл бұрын
BEST explanation EVER of bootstrap. Thanks for your dedication!
@statquest Жыл бұрын
Glad it was helpful!
@travelthetropics6190 3 жыл бұрын
Wow! this is the first time I learned this. awesome!
@statquest 3 жыл бұрын
BAM! :)
@witchaponkitthaworn5998 Жыл бұрын
I am learning machine learning and came to this term , this videos explain it very clear, thank you.
@statquest Жыл бұрын
Thanks!
@quorrexnoway9127 3 жыл бұрын
This kinda feels illegal xD Really nice explained!
@statquest 3 жыл бұрын
Thank you! :)
@qi2li2n_prance 9 ай бұрын
You made this concept so much easier to understand than what I was supposed to be learning it from. Thank you so much!!
@statquest 9 ай бұрын
Glad it was helpful!
@abhishekpawar921 3 жыл бұрын
Thanks for uploading these videos. It takes a lot of time and efforts to make such quality content. Thank you, Sir.
@statquest 3 жыл бұрын
Glad you like them!
@ayenisedaghat4667 5 ай бұрын
You are a legend my friend! A legend. I am doing my masters in Data Science this fall and this is amazing
@statquest 5 ай бұрын
You can do it!
@AliasNichtVerfügbarDrölf 2 жыл бұрын
Not the information I was looking for but i couldn't stop myself from watching it to the end. It was quite entertaining :)
@AliasNichtVerfügbarDrölf 2 жыл бұрын
*BAM
@statquest 2 жыл бұрын
That's awesome! BAM! :)
@jaundersousa3530 3 жыл бұрын
A professor at the university I studied at was apparently a key contributor to Bootstrapping. Excellent job at explaining it in such an easy-to-understand way!
@aditya4974 3 жыл бұрын
What's the University and Prof's name?
@statquest 3 жыл бұрын
bam!
@hermesavurquijo9961 Жыл бұрын
Thanks a lot, your video helps me and hopefully it will help my paper too
@statquest Жыл бұрын
Thanks!
@jasonvoreseeas6578 3 жыл бұрын
I'm going to recommend this channel to a bunch of my machine Learning nerds. This guy deserves every hype possible!
@statquest 3 жыл бұрын
Thank you! :)
@hugoviotti9795 3 жыл бұрын
Always glad to see a new statquest! BAM!
@statquest 3 жыл бұрын
BAM! :)
@AvatardSwag 3 жыл бұрын
This is the most amazing video I've seen on bootstrapping, thank you! Quadruple Bam!
@statquest 3 жыл бұрын
Wow, thanks!
@ignasialemany7738 2 жыл бұрын
The triple BAM was amazing, thank you!
@statquest 2 жыл бұрын
Thank you!
@luko141 2 жыл бұрын
Mr. Josh - u are amazing. World needs more ppl like u. Its like education on another level. Thank you
@statquest 2 жыл бұрын
Thanks! :)
@alessandrobucci951 Жыл бұрын
One of the most useful video on this topic on youtube, thanks!
@statquest Жыл бұрын
Wow, thanks!
@tsuchiko_7155 2 жыл бұрын
OMG, it was a truly easy-to-understand video! Both the animation, narration, and explanation!!!! I wanna give a billion likes!!!
@statquest 2 жыл бұрын
Wow, thanks!
@everyhinghere1377 Жыл бұрын
this is better than college-level advanced course !!! thank you
@statquest Жыл бұрын
Wow, thanks!
@dutonic Жыл бұрын
Wow this is so good. The intro made me laugh so hard, it wasn't even that funny I just didn't expect it.
@statquest Жыл бұрын
Thanks!
@tomatocultivator9539 Жыл бұрын
Thank you for explaining... Eat tomato and stay healthy....
@statquest Жыл бұрын
bam! :)
@oscarrosalescorzo Жыл бұрын
The work you do is awesome!! Love it.
@statquest Жыл бұрын
Thank you!
@user-xp7ye3fr5l 6 ай бұрын
blud just dropped one of the best explanatory videos out there and thought we wouldnt notice☠☠☠
@statquest 6 ай бұрын
bam! :)
@andreyele3464 Жыл бұрын
Josh, you're sent to us from heaven, thanks
@statquest Жыл бұрын
:)
@bellahuang8522 6 ай бұрын
I'm studying at a top 10 research university in the States and every professor has a PhD from Harvard/Stanford, but none of them teach stats as well as StatQuest 🙃
@statquest 6 ай бұрын
Thanks! :)
@adityarazpokhrel7626 2 жыл бұрын
So smoothly explained. Thank you sir.
@statquest 2 жыл бұрын
Thank you!
@PunmasterSTP 4 ай бұрын
Bootstrapping? More like "Bro, it's awesome knowledge you're dropping!" 👍
@statquest 4 ай бұрын
Bam! :)
@PunmasterSTP 4 ай бұрын
@@statquest Boot! 🥾
@punditgi 3 жыл бұрын
Very clear explanation. Well done!
@statquest 3 жыл бұрын
Thank you! :)
@davusieonus 2 жыл бұрын
i loved your bams and the illustrations for the steps and your explanation helped a lot
@statquest 2 жыл бұрын
Thank you!
@sevenindigo5945 Жыл бұрын
I can only say one thing: BAM!!! you are the best teacher BAM!!!
@statquest Жыл бұрын
Thank you!
@keepcontinue Жыл бұрын
Excellent explanation as always by StatQuest!!! Thx a lot!!!
@statquest Жыл бұрын
BAM! :)
@williamss4277 3 ай бұрын
Thank you for the teaching 🎉
@statquest 3 ай бұрын
Any time!
@yohanessatria2220 Жыл бұрын
bruh... this explanation is simply awesome!
@statquest Жыл бұрын
Glad you liked it
@alaminmustafa8902 2 жыл бұрын
I love the terminology alert😂 quadruple bam !😂
@statquest 2 жыл бұрын
bam!
@amirmusavi3141 Жыл бұрын
i read 30 pages of a book , almost get sth,watch 10 min of statquest, fully understand the subject, you're the best bro
@statquest Жыл бұрын
Thanks!
@namitaratnakar_6591 Жыл бұрын
Love the explanation ..... Thank uh soo much❣️
@statquest Жыл бұрын
Thanks!
@GeerathBhat-vm1vp Жыл бұрын
Thank you so much for your wonderful videos. I have a small request to provide a lecture on FLDA, GMM, EM Algorithm, MLE estimation, MAP estimation. Also, there are some lectures which are not in the book, please also include those lectures too. Thank you so much again!!!. I want to learn more and more from your lectures.
@statquest Жыл бұрын
Thanks! I'll keep those topics in mind.
@thomasporritt8323 3 жыл бұрын
Great way to break bootstrapping into common language.
@statquest 3 жыл бұрын
Thanks!
@Acampandoconfrikis 3 жыл бұрын
Best intro ever Pixar would envy you
@statquest 3 жыл бұрын
bam!
@user-gc5ih9fm5y 11 ай бұрын
The intro was gold 🔥
@statquest 11 ай бұрын
bam!
@annaspitczok9471 2 жыл бұрын
Big BAM for so much statistic knowledge in such little time
@statquest 2 жыл бұрын
Hooray!
@Observe411 2 жыл бұрын
Great video! Btw, you could probably do a really good Solid Snake voice. Would love to get an Easter egg in one of the next videos!!
@statquest 2 жыл бұрын
That would be funny. :)
@studyselection2881 Жыл бұрын
Are there even comments that you do not comment on? Very good video, thank you!
@statquest Жыл бұрын
Sometimes there are, but it's rare.
@musefaredi5540 Жыл бұрын
Nice way of explanation!! BAM!!!
@statquest Жыл бұрын
Thanks!
@ElSamyto 10 ай бұрын
Okay you are the best thank you for doing this video !
@statquest 10 ай бұрын
Thank you!
@dejanspasovic377 Жыл бұрын
Amazing videos, simple and well explained.
@statquest Жыл бұрын
Many thanks!
@lahaale5840 2 жыл бұрын
Thank you so much, your videos are always so helpful to me
@statquest 2 жыл бұрын
Glad you like them!
@thomasdelossantosverrijp8117 Жыл бұрын
thank you, this was very helpful
@statquest Жыл бұрын
Glad it was helpful!
@DurjoyRoy-ll4zt Ай бұрын
Loved it... Big BAM!
@statquest Ай бұрын
Thanks!
@estevaodias6404 3 жыл бұрын
Awesome! The proofs about it seems to be nice
@statquest 3 жыл бұрын
Thanks!
@SP-qk6vd 6 ай бұрын
In 8:23 the notation on the x-axis should be median values not mean values since we are using median as statistic measurement for bootstrapping in this case...pls look into it
@statquest 6 ай бұрын
Yep. That's a typo.
@Tozziz 2 жыл бұрын
Dear Josh I bought a few study guides :) Thanks so much for your videos
@statquest 2 жыл бұрын
Awesome! Thank you so much for your support!!
@Mesye_bober Ай бұрын
Nice work , man
@statquest Ай бұрын
Thanks!
@AnalyticsAlchemy-nq3kq 5 ай бұрын
Nice explanation...awesome
@statquest 5 ай бұрын
Thank you!
@dashsingh30095 3 жыл бұрын
Statquest is the netflix for data science concepts.
@statquest 3 жыл бұрын
bam!
@thepresistence5935 2 жыл бұрын
9 th wonder I learned bootstrapping and confidence intervals! hurray!
@statquest 2 жыл бұрын
double bam! :)
@darnelb1912 3 жыл бұрын
Great video! I learn so much with you!
@statquest 3 жыл бұрын
Awesome! Thank you!
@YK-jn2kp 3 жыл бұрын
I loved the idea of shameless self promotion idea lol. Thanks for your time and effort.
@statquest 3 жыл бұрын
Thank you! :)
@arifmemovic3383 2 жыл бұрын
You rock Josh. Thanks for making this video!
@statquest 2 жыл бұрын
Thanks!
@utkarshsingh2675 Жыл бұрын
easy to understand....thanks josh!
@statquest Жыл бұрын
Thank you!
@gitaecookiemonster2892 3 жыл бұрын
Love all of your videos!! Thanks a lot!
@statquest 3 жыл бұрын
Glad you like them!
@ezequielzion 3 жыл бұрын
Amazing, I love when you say Bam 😂
@statquest 3 жыл бұрын
Bam! :)
@britling9101 2 жыл бұрын
i dont like stats, but damn, this is so easy to understand and the BAMs Got me laughing HAHHA Tysm Josh! Might made me wanna binge watch some of ur vids and learn stats in my own time damn
@statquest 2 жыл бұрын
Hooray!
@alternativepotato 3 жыл бұрын
Josh i dont know if u take requests, but i would love a video about lstm, grus, recurrent neural networks in general. Anyways lovely video.
@statquest 3 жыл бұрын
Thanks! I'll keep those topics in mind.
@yingyanhuang1688 Жыл бұрын
You are amazing! Thank you!
@statquest Жыл бұрын
Thanks!
@alexyang2002 Жыл бұрын
really clear, thanks
@statquest Жыл бұрын
Thank you!
@mahdiranjbar3569 2 жыл бұрын
Ur videos are just so cool, tnx a lot
@statquest 2 жыл бұрын
Glad you like them!
@fgfanta 5 ай бұрын
University professor explained it in a confused and insufficient way (to put it politely), then I came to StatQuest.
@statquest 5 ай бұрын
bam!
@DragonDragon-qr6mq 2 жыл бұрын
bam. so clear explaination. thx
@statquest 2 жыл бұрын
Thanks!
@dylanspodcast 10 ай бұрын
This guy is great!
@statquest 10 ай бұрын
Thanks!
@leonelemiliolereboursnadal6966 2 жыл бұрын
you are the best man!!!, tirple bamm!
@statquest 2 жыл бұрын
Thank you!
@RoRight 3 жыл бұрын
BAMM! It will be great if you can compare and contrast cross-validation and bootstrapping for us.
@statquest 3 жыл бұрын
One huge difference is that Bootstrapping uses sampling with replacement.
@darnelb1912 3 жыл бұрын
I was thinking the same! I usually use bootstrapping when the "test data" in folds is too small, but I really don't know the advantage of using CV instead Bootstrapping or viceversa
@moart87 3 жыл бұрын
Damn Josh. I’m 33 and still don’t have any children. But when I inevitably will, I’m showing them (or I’ll recreate the explanations) these vids at a young age to educate them. Econometrics will be a breeze that way!
@statquest 3 жыл бұрын
Bam! :)
@RobertaBraga_ Жыл бұрын
Thanks Josh, you are the one!
@statquest Жыл бұрын
Thank you and congratulations again. I'm so glad I was helpful. BAM! :)
@anakagung7613 2 жыл бұрын
Awesome song!
@statquest 2 жыл бұрын
Thanks!
@bushraw66 2 ай бұрын
Thank you
@statquest 2 ай бұрын
TRIPLE BAM!!! Thank you so much for supporting StatQuest!!! :)
@brettclark3885 2 жыл бұрын
At 6:40 when you start to discuss the 95% CI; I think there will be a lot of people who wont understand the subtlety of this distribution. You have created a distribtuion of 'statsitics'; in this case the mean. So, as you would appreciate you have derived the "sampling distribution' of the mean, from which the standard deviation = the standard error of the mean and the 95% CI calcaution is trivial. The uninitated might not appreciate how this is different from a distribution of a single data set; whereby the standard error = the standard devation / sqrt(n).
@statquest 2 жыл бұрын
noted
@aszx-tv4pq Ай бұрын
finally statistics make sense
@statquest Ай бұрын
bam!
@etwasverfehlt2397 2 жыл бұрын
Josh if you need someone who cleans your room or makes the dishes, just give me a call. I own you that
@statquest 2 жыл бұрын
Wow! :)
@verafan6962 Жыл бұрын
Create video! One small flaw I would like to point out the lingo should be fail to reject the null hypothesis instead of cannot reject the hypothesis.
@statquest Жыл бұрын
Noted
@olivier306 2 жыл бұрын
absolutely perfect god bless you
@statquest 2 жыл бұрын
Thank you!
@yourealive1 7 ай бұрын
that bip boop was so cute
@statquest 7 ай бұрын
:)
Jason Derulo
Рет қаралды 33 МЛН
Ensemble (Boosting, Bagging, and Stacking) in Machine Learning: Easy Explanation for Data Scientists
Emma Ding
Рет қаралды 34 М.