I cannot tell you how many hours I've spent trying to understand this concept. Every video I've watched has been unclear or just to complex for me to visualize and understand. I literally paused at 1:34 and just sat there for a solid minute cause it was that simple. I'm amazed that no one has ever explained it like this to me, including my Stats teacher. Thanks so much for this!
Jason St George I'm glad these videos help fill the gaps in what is taught in classes. I was always pretty slow when I took classes - so I made these videos so that I could make sense of the material - I'm a visual learner, and the stuff I learned in classes was all based on equations, which I had trouble learning and remembering.
I have to piggyback on Mike's comment. I tried Harvard's EdX in data science (which I advise everyone to avoid at all costs), and the explanations were just disparate terms, equations, and R code. I am sticking with Josh. The Harvard/Edx system even marked me as passing one of the 9 sections, but they LOST MY DATA somehow. Even after I sent them screenshots showing the display of my passing in their system, they would not update my account and mark me as passing.
Why all my profs make this so difficult I will never know... But what I do know is that this video helped me understand it instantly and simply. Thank you so much!
Fourth video watched from different sources on standard error, this was the one where i paused the video at 1:34 pointed at the screen and said "That makes sense" out loud to myself. Simple explanation is key, thanks a lot
Thank you! I don't know why my professor couldn't just explain it like that. I have dyscalculia so I need something to visualize in order to understand abstract concepts like this.
I have seen lots of articles and videos explaining Standard Error using complicated terms and I couldn't get it. This is the only that make sense to me. Really clear and simple. Thanks a lot.
holy crap. I'm an undergrad psych student doing a long distance course so most of my learning is driven by myself, and the statistics have been driving me insane; I just don't understand it at all. this video is SO simple and something I've been struggling with for WEEKS is finally clear. thank you SO much I literally owe you my firstborn
Thank you for the clear and simple explanation, as I am visual learner. I re-phrased it to my understanding/textbook. Please clarify/advise: Standard deviation quantifies how much a data entry deviates from the mean, within a data set. Standard error quantifies the deviation of multiple means from the true mean, from multiple data sets.
It really was just that simple. Thank you so much for this explanation!! It took days for me to try to understand it and you got me to understand it in only a few minutes.
I have been STRUGGLING to get in my brain this concept which so many places explain in a super abstract and confusing way (for me). I have felt incredibly stupid but this helps me feel slightly less so.
Thanks for this video. Great explanation! One question though. If there is only one set of measurements, then how can we calculate standard error? I feel that by definition (provided in the video) standard error is not applicable to one set of measurements. Any thoughts on this are greatly appreciated. Thanks!
I know - the formula, given only a single set of measurements, is pretty magical. It's derived from something called "The Central Limit Theorem", which shows that sample means, regardless of the distribution the sample comes from, are normally distributed. Once you know that they are normally distributed, it is easy to calculate the standard error from a single set of measurements. If you're interested in the Central Limit Theorem, I have a video on it: ruclips.net/video/YAlJCEDH2uY/видео.html
@@statquest when I am drawing 30 elements from a population and I calculate the mean of these 30 elements, it will be normally distributed according to the Central Limit Theorem. Please rectify my concept if it is wrong. Now, what is the formula for standard error of this sample (n=30)? Standard error is the standard deviation of the means. Over here we just have a single mean. It would really helpful if you could clarify this.
@@sanchitakanta1018 Because means are normally distributed, we can calculate the standard error of the mean as the standard deviation of the data divided by the square root of the sample size. In other words, the larger the sample size, the smaller the standard error of the mean, and the better the estimate of the mean.
This was a new information for me. However, I'm not able to understand how (and why) are we calculating standard error for single set of observations (having only 1 mean for the set). Shouldn't standard error be 0 for any single set of observation? Can someone please clarify?
The reason we can calculate a non-zero value for the standard error from a single dataset is that the raw data gives us an estimate of the raw variation in the data. Once we have that estimate, we can estimate how the mean itself would vary, given how the data itself varies.
Hello Josh! Do you have any guide to Data Analysis? I'm working as data analyst intern in a company and i would to improve my knowledge about it to be able to apply the concepts to the projects i'm working on
Standard error is standard deviation of mean when taking n samples with x data points each. However, standard error can be calculated from single sample of measurements, which is confusing because what it actually means is the standard deviation of means of many samples.
I have been literally wasting my time trying to understand the principal mean and it's that simple at the end. I hate universities and their ways of teaching
Great video! I have a question... would you calculate the standard error of the mean for just 5 data/samples? if not why not? and would you need a larger sample size to even consider doing the standard error? I get you can use it for just one data set, but woudnt that data set have to have a large sample? because the whole point is to reach a value closer to 0 or true value.
You can calculate the standard error for any size dataset, even very small ones. The more data you have, the smaller the standard error will be. So for a very small dataset, we'll have a relatively large standard error, and, as a result, not a lot of confidence in where the true population mean is. In contrast, for a larger dataset, we'll have a relatively small standard error that gives us more confidence that we know where the population mean is.
yes this is the explanation i needed...the concept...the core of what it is and its importance.... all other people trying to fill up the formula and explaining without giving any logic....goddamn i know the formula 🤦 this is the best explanation in less than 3 mins.... thank you sir
when I was taking notes on this in class it made so much sense, and as I went back to study my notes and saw "standard deviation of the means of the means" I literally could not figure out what that meant, so I am very grateful for this video and the visual representation.
Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
I was looking for one sentence....the sentence that made my day. The standard error is the STANDARD DEVIATION OF THE MEANS😎
The standard error vs The standard error of (the) mean. Am I right?
hell yes. I was waiting for this all my life.
*ignores last 3 words*
"The standard error is the standard deviation"
NANI?!?
Why cant school just say this^^^^^ to explain this like holy its not that hard to dumb it down
And he didn't charge $25,000 for it
I cannot tell you how many hours I've spent trying to understand this concept. Every video I've watched has been unclear or just to complex for me to visualize and understand. I literally paused at 1:34 and just sat there for a solid minute cause it was that simple. I'm amazed that no one has ever explained it like this to me, including my Stats teacher. Thanks so much for this!
Awesome!!! I'm glad the video was helpful! Yes, it really is that simple.
That's crazy, I read this comment as I'm paused at 1:34 !
@@rahulshah26 Same LOL
well explained, thank you!
Thanks!
Thanks for all those excellent videos, and cheer up!
Thanks! :)
Thank you. This helped a lot
Hooray! :)
Very clear and helpful, thanks so much! :)
Glad it was helpful!
Love u my bro
Thank you! :)
I work in data science. Took masters level courses from many professors for a lot of $$. These videos are much clearer (and better) IMO
Thanks for the endorsement! :)
Jason St George I'm glad these videos help fill the gaps in what is taught in classes. I was always pretty slow when I took classes - so I made these videos so that I could make sense of the material - I'm a visual learner, and the stuff I learned in classes was all based on equations, which I had trouble learning and remembering.
Agree, I am here cuz im taking a statistic signature in master :P
I have to piggyback on Mike's comment. I tried Harvard's EdX in data science (which I advise everyone to avoid at all costs), and the explanations were just disparate terms, equations, and R code. I am sticking with Josh. The Harvard/Edx system even marked me as passing one of the 9 sections, but they LOST MY DATA somehow. Even after I sent them screenshots showing the display of my passing in their system, they would not update my account and mark me as passing.
You pay for the degree first, then the education
Why all my profs make this so difficult I will never know... But what I do know is that this video helped me understand it instantly and simply. Thank you so much!
Hooray! :)
@@statquest wow! you still replying after 6 years
Fourth video watched from different sources on standard error, this was the one where i paused the video at 1:34 pointed at the screen and said "That makes sense" out loud to myself. Simple explanation is key, thanks a lot
Hooray!!!! I'm glad my video was helpful. :)
THAT'S EXACTLY WHAT I DID! Paused at 1:35, stared at the screen and went "WHOOAAAAAAAA!!!!"
@@TheKubbas That's awesome!!! :)
one more "whoooaaa" here :)
@@AnyutaWiazemsky :)
Crazy how simply something that seemed so complicated truly is-thank you Josh!
Thank you! :)
This video changed my life.
Bam! :)
30 people who disliked this probably gonna fail Statistics 101
:)
If you read this, then you probably also have a Stat exam in a few days. Other than that, great video. Short and simple.
Or a lab heavily dependent on data analysis 😣
Nope, I am watching just for fun and interest, you are wrong
Thank you! I don't know why my professor couldn't just explain it like that. I have dyscalculia so I need something to visualize in order to understand abstract concepts like this.
Happy to help!
omg this video brightened my day!!!! Thank you so muchhhh!
I'm so glad!
JESUS CHRIST FINALLY
BAM! :)
Thank you for such a clear and concise explanation. I can tick this confusing concept off my list to clarify and move onto the next one!!
Bam!
I have seen lots of articles and videos explaining Standard Error using complicated terms and I couldn't get it. This is the only that make sense to me. Really clear and simple. Thanks a lot.
Awesome! I'm glad my video was helpful. :)
omg. it finally is coming together. thank you so so much!
bam! :)
holy crap. I'm an undergrad psych student doing a long distance course so most of my learning is driven by myself, and the statistics have been driving me insane; I just don't understand it at all. this video is SO simple and something I've been struggling with for WEEKS is finally clear. thank you SO much I literally owe you my firstborn
Bam! Glad I could help!
Thank you for the clear and simple explanation, as I am visual learner. I re-phrased it to my understanding/textbook. Please clarify/advise: Standard deviation quantifies how much a data entry deviates from the mean, within a data set.
Standard error quantifies the deviation of multiple means from the true mean, from multiple data sets.
That is correct! You've got it! :)
@@statquest Thank you for your help!
It really was just that simple. Thank you so much for this explanation!! It took days for me to try to understand it and you got me to understand it in only a few minutes.
Glad it helped!
Finally a meaningful explanation! This was enlighting!
Awesome!!! Thank you! :)
I have been STRUGGLING to get in my brain this concept which so many places explain in a super abstract and confusing way (for me). I have felt incredibly stupid but this helps me feel slightly less so.
Thanks!
'StatQuickie' is probably the perfect name for this channel. Quick but satisfactory.
bam! :)
Thanks for this video. Great explanation! One question though. If there is only one set of measurements, then how can we calculate standard error? I feel that by definition (provided in the video) standard error is not applicable to one set of measurements. Any thoughts on this are greatly appreciated. Thanks!
I know - the formula, given only a single set of measurements, is pretty magical. It's derived from something called "The Central Limit Theorem", which shows that sample means, regardless of the distribution the sample comes from, are normally distributed. Once you know that they are normally distributed, it is easy to calculate the standard error from a single set of measurements. If you're interested in the Central Limit Theorem, I have a video on it: ruclips.net/video/YAlJCEDH2uY/видео.html
@@statquest when I am drawing 30 elements from a population and I calculate the mean of these 30 elements, it will be normally distributed according to the Central Limit Theorem.
Please rectify my concept if it is wrong.
Now, what is the formula for standard error of this sample (n=30)?
Standard error is the standard deviation of the means.
Over here we just have a single mean.
It would really helpful if you could clarify this.
@@sanchitakanta1018 Because means are normally distributed, we can calculate the standard error of the mean as the standard deviation of the data divided by the square root of the sample size. In other words, the larger the sample size, the smaller the standard error of the mean, and the better the estimate of the mean.
@@statquest so basically when we have just one sample with a single mean the formula becomes
S.E = S.D of the sample/sqrt(n)
Where n= sample size.
@@statquest Thank you so much.🌻
You are a blessing for students struggling with statistics.
Thank you for these awesome videos. Subscribed your channel to show support! Hope you make more educational videos and get more subscribers.
Thank you very much for your support! It really means a lot to me.
This is by far the easiest and the most precise explanation I've come across on standard error of mean. Thankyou so much!
Glad it helped!
Thank u so much I’m literally struggling with understanding them for my Psm exam but thanks to u I learned it !!! Thank uuuu
Good luck!
This was a new information for me. However, I'm not able to understand how (and why) are we calculating standard error for single set of observations (having only 1 mean for the set). Shouldn't standard error be 0 for any single set of observation? Can someone please clarify?
The reason we can calculate a non-zero value for the standard error from a single dataset is that the raw data gives us an estimate of the raw variation in the data. Once we have that estimate, we can estimate how the mean itself would vary, given how the data itself varies.
Hello Josh! Do you have any guide to Data Analysis? I'm working as data analyst intern in a company and i would to improve my knowledge about it to be able to apply the concepts to the projects i'm working on
All I have is a bunch of videos on statistics concepts and machine learning here: statquest.org/video-index/
Thank you,a million times 🎉. I can never forget this definition❤
bam! :)
Standard error is standard deviation of mean when taking n samples with x data points each. However, standard error can be calculated from single sample of measurements, which is confusing because what it actually means is the standard deviation of means of many samples.
Yep!
This is hands down the best channel on RUclips!!!!!!!!!!! If you don't agree then you are a monkey.
Thanks!
Holy shit, this guy explained in an actual understandable way! Which I can't say for many other sources!
Thanks!
It's so clear to understand those terms. Thanks so much. I'm gonna check out other videos from your channel.
Thanks!
wai..wait, that was it. That's all it was? Why the fck did my teacher made it sound so fcking complicated!?
:)
i'm here cause i'm taking applied stats for business. thank you sooo much for this
Thanks!
I have been literally wasting my time trying to understand the principal mean and it's that simple at the end.
I hate universities and their ways of teaching
:)
I watched 10 minutes video which made me totally confused about this topic, and with you, I understood it perfectly in 2 minutes! You are awesome!
Hooray! :)
Oh my! I❤ you! This is the best version of explanation !
Thank you!
THE GOD OF MATH!!!!!! THANK YOU SIR!!!!!
:)
A friend told me that the standard error is the standard deviation of the sampling distribution. Is that right?
Yes
that was really tough to visualize before watching this video ..
I hope it was helpful.
I have never ever seen like teaching! At my university, all teachers are just officer
I'm so glad you like my videos. :)
Beautifully explained!
Thanks! :)
Your channel is awesome mate. Easy to fallow, Simple clear examples. Effective visualization.
You are legend.
Cheers,
Thank you! :)
thank you.... you have saved my life........ mr statquest!!
Happy to help!
Thanks you sir, you explained very clear.
:)
This is extremely helpful! Thank you!!
I know this was posted awhile ago but thank you! This is the explanation I needed.
An oldie but a goodie!
That really clicked. Things are so much easier to understand when analogies are used instead of just technical words. Thumbs up!
Glad it was helpful!
best video on this shit yo literally straight to work no BS
Thanks!
Thank you so much for this video! It's been very helpful !!
Hooray!!!
Thank you so much! My lecturer explain this like in 2 weeks but i can’t understand. Just by watching this video i constantly understand. Thanks!❤
Glad it helped!
Fantastic video! Thank you so much!
Thanks!
You destroyed it.
:)
This video is so helpful!! I'm definitely subscribing for more tips. Thank you!
Thank you!
I found it ! thank you very^very much
hooray!
Great video! I have a question...
would you calculate the standard error of the mean for just 5 data/samples? if not why not? and would you need a larger sample size to even consider doing the standard error?
I get you can use it for just one data set, but woudnt that data set have to have a large sample? because the whole point is to reach a value closer to 0 or true value.
You can calculate the standard error for any size dataset, even very small ones. The more data you have, the smaller the standard error will be. So for a very small dataset, we'll have a relatively large standard error, and, as a result, not a lot of confidence in where the true population mean is. In contrast, for a larger dataset, we'll have a relatively small standard error that gives us more confidence that we know where the population mean is.
Finally I got it !!!
Thank you SO MUCH
Hooray! That's awesome. :)
yes this is the explanation i needed...the concept...the core of what it is and its importance.... all other people trying to fill up the formula and explaining without giving any logic....goddamn i know the formula 🤦 this is the best explanation in less than 3 mins.... thank you sir
Thanks!
Great ans simple explanation, thanks!
Glad it was helpful!
This is so crystal clear and helpful.
Many thanks to you!
You're welcome!! I'm glad the video was helpful! :)
Jeez! By far the simplest explanation of what the standard error is! You win! Thank you.
Thank you!
Thank you so much for making everything much clearer! I hope you will keep making videos in the future!
I love making these videos, so I will make as many as I can.
Not many quickies are as good as this one
This is a classic.
Excellent. Simple and well explained. 👍
Glad it was helpful!
I literally could have skipped my stats lectures and watched this video instead- super helpful thank you!!
Glad it helped!
Brilliant video! Thanks Josh!
Glad you liked it!
I've already recommended this video to my classmates. thanks for providing this!!
Thanks for sharing!
Thank you very much Josh Starmer
You are very welcome!
Thanks thanks thanks for this video !!!
Thanks! :)
Bro much appreciation much love
Thank you very much! :)
Josh, where is your song for this video? lol
Ha! Great Question!!! It totally needs a song.
Thank you for this extremely helpful, and concise, explanation!
You're welcome! :)
But how, just how could you make it so simple. You sir are a blessing.
Thanks!
when I was taking notes on this in class it made so much sense, and as I went back to study my notes and saw "standard deviation of the means of the means" I literally could not figure out what that meant, so I am very grateful for this video and the visual representation.
Hooray! Happy to help!
very helpful! thank you for the nice graphic and slow explanation.
Thanks!
It took my teacher 2 months to "teach" us this and I learned it in about 30 seconds from this random RUclips video.
I think your students are excited about your explanation. Me too.Thank you.
Glad to hear that!
Thank you so much for your lucid and elegant discussion. You're a Lord of Statistics.
Wow, thank you!
UGH finally I understand
:)
thank you so muc,h, savior!
:)
You are the best! thankyou!
Thanks!
thank you that cleared it up
Thanks!
You are the GOAT of stats!
Thanks!
Fantastic! I've finished a number of videos on SD vs SE and this is the one which made the difference click for me.
So simple to understand, that is what I needed. Thank you very much.
Glad it helped!
This video has exactly the information I was looking for! Thanks!
Glad it was helpful!
Wow so easy explanation
Thanks! :)
Thank you very much! This is how everything should be explained
Thank you so much indeed. Amazing explanation and helped me a lot !! cheers
Bam! :)
I finally found the perfect explanation. Thank you so much.
Great to hear!
Beautiful. Thanks
Welcome 😊!
Extremely helpful! Can't appreciate enough👍❤
Glad it helped!
Very simple and clear explanation. Thanks for the great video.
Thanks!
Thank you very much. 😊
You're welcome 😊!