Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
this is kind of late but I was wondering how you got the standard deviation of baby height measurement is +/- 1.2 vs the standard deviation of adult heights of 8? How did we get the value of 1.2 and 8? I am not sure if I used the correct wording or if what I am asking make's sense but hope I can get an answer!
@@santiagoramos1313 I just googled "average adult height" and found a table that listed the mean and standard deviation for the world and individual countries. I then did the same thing for babies. In other words, I didn't calculate those values, I just looked them up in a table.
These unexpected silly songs really relieve the pressure before getting into the subject. They are an integral part of the Statquest pedagogy, they act as a mind-opener :)))
@@kartikaykhattar96 I believe yes as there are only 2 possible outcomes. However if the question is something like percentage understanding or confidence level in percentage it will likely be normally distributed.
dude, you make my day. every time I watch one of your vids I am usually super stressed bc our prof doesn't take the time to explain a darn thing. thanks a lot for making this free and enjoyable
These videos are literally amazing, every single one is so clear and well presented and the use of visuals is top notch. Can't wait for the central limit theorem one!
Luckily this video popped out in the beginning of my search list ! Such a clear explanation about Normal distribution that I was struggling to understand since years!
this is an extremely precious channel whoever wants to start with stats... Thank you so much for making people's life easy by this channel. N, of course, the starting songs are really congenial.
One Word! Simply Awesome. After 40 yrs of coming on this earth, today I understood normal distribution and standard deviation. Have been ignoring it since long to understand. Thank you.
wow this is so much easier to understand then my dense obtuse intro to stats textbook!! thank you so much, i had no idea what they were talking about in that dang book
I subscribed halfway through the intro. when you know, you know. Edit> I just watched the entire video, it's brilliant. A wonderfully concise overview of the subject. I'm always looking for videos like these to give me the core explanation that I can hang the details on to as I go. 5 minutes to explain what it takes a textbook 50 pages. I can't wait to watch the next video on the central limit theory. Thank you Josh great video.
Did a Google search for the best youtube channels to learn basic stats. I am so glad i found your channel. I am doing a final year of my bachelor and I am doing an online stats course which is not easy to understand. I find that I can "just get by" on the quizes and assignments but I am not really understanding the material. I don't want to just pass, I want to be able to apply stats in business problems (I am a mature student...meaning I am old). Your channel is helping me truly understand stats. Thank You
Clear and simple explanation. As most things are in the world. There is not complex or heavy themes or things. There is just people that do not know how to explain it because they do not understand them. I used this explanation for understanding limit of detection in analytical measurements. Thank you
Thank you so much for this. I spent a good hour re-reading the subchapter on gaussian distribution in my university textbook and I just could not wrap my head around it. This video made it so simple and it has finally "clicked" in my tired, frustrated brain. Very much appreciated
I completely agree with Em c!!! I am struggling and after a year, I found your video! For the first time, my head didn't hurt!!! Great, detailed instructional videos!!! Thank you
Strange that we have to look for online resources like this one to try to make sense of normal distribution after we have signed up for a paid course thats supposed to teach us the concept. Lecturers and course material just assume most people know distribution at a certain level.
@@statquest BAM! I just finished my exam today. Your videos are super helpful and also fun. Now I don't watch them for the sake of exams just simply for fun.
Wow, I like you. I just like you. 2 days of trying to understand normal Distribution!! You killed it in less than 5mins. Give me more with practical examples. 🤓
I liked the explanation. Just one small thing i would like to add which many people might overlook. In real life situations, we do not draw the curve such that its width is defined by the std dev. Its the other way around. Like we just have data points from which we plot the curve. Then if its a curve satisfying these parameters discussed in the vid, we named it normal disrtibution. So , for example "Peak of the curve is given by avg" is not same as "peak of the curve happens to be the avg". Idk if i explained it properly but i jusy wanted to point out that the bell curve is not bound to follow these avg and std dev values, more like in this case of disrtibution, which we call as normal, the avg, std dev etc values fall in such that, say 95% of data is inside avg +- sigma width.
I get teachers like to explain how this works as it is said on the syllabuses but as a person who has not heard of this i wouldn't understand anything, they should just explain it like this because now i know how to read a normal distribution graph and how to write one as well, thank you :)
3:27 How did you get +-1.2 inches & +-8 inches? You only said that 95% of data are within 2 sdv but you didn't explain how to calculate the range approximation.
For any normal curve, 95% of the data are within 2 standard deviations of the mean. This is just the way those curves are defined. So, since we know the standard deviations of both curves, we can just multiply them by 2 to find out what 2 standard deviations are.
Its super super exciting to watch your video ,you are doing great job i always had fear of learning statistics but you explained in a very simple way,,Thank you You are awesome
for the low probability of measuring a man +/- 2 standard deviations from the mean, he meant 8 inches right? Not 1.2 because that is the standard deviations of the babies?
ok nevermind i understand. 95% of the curve is represented +/- 2 sd from the mean, so saying there is low probability within its own sd from the mean is not right. But, if compared to the standard deviation of the babies which is a lot low than adult males, then it would have low probability.
I have a doubt. At 1:04, why did you use the term "relative probabailities"? Also, does that mean that there is something called absolute probabilities?
Technically, there are "likelihoods" and "probabilities". The y-axis coordinates are called "likelihoods", and the area under the curve corresponds to probabilities. That said, in english, the words "likelihood" and "probability" are often used interchangeably (even though they refer to different things in statistics) which is why I used the term "relative probability"
I think that if you really want to be good at ML, you need to understand data, and the normal distribution is one of the most fundamental concepts for understanding data.
Hello, I want to ask a question that at the 02:08, why we can state that we can looking and tell the new born baby will be between 19 and 21 height? Where we choose number 19 and 21? Thank you for your videos and hope you can help me to answer!
I think there's a typo in minute 4:06 of this video. Shouldn't it say that "and there is a low probability of measuring a man within +/- 8 inches of the mean." ?
Hello,I got confused at the last part. 😭😭 I don't understand why it is not ".....low probability of measuring a mean within +/- 8 inches of the mean"? (4.08 min) Please help😢😢
At 3:20 I show that 95% of the measurements of adult males fall between 70 +/- 8 inches. In other words, the probability of measuring an adult that has a height somewhere between 70 +/- 8 inches is 95%. This is a pretty high probability. In contrast, at 4:06, we are looking at the probability of measuring an adult that has a height somewhere between 70 +/- 1.2 inches of the mean. In this case, there is a relatively low probability, especially when compared to measuring a baby with a height somewhere between 20 +/- 1.2 inches. Does this make sense?
There is a typo at 4:13 - it says "there is a low probability of measuring a man within +/- 1.2 inches" but it should be +/- 8 inches. Although, Thank you so much for such an easy explanation.
The video is correct. If it were +8/-8 inches, then the probabilities would be equal, and that was already illustrated at 3:20. In contrast, at 4:13 what I'm trying to show is that two windows, both the exact same size (+/- 1.2 inches around the mean) can result in different probabilities if the standard deviations of the distributions are different.
So in the chart @3:40, is the y axis probability? If so, then for the adult height curve, even if we take mean +- 2 sd, the probability will be low as the point will be equal to only a low y axis value. But since this should be 95% of all data, the probability should be high right? I'm confused. Can someone explain?
I should have been more clear when I said that the y-axis represented a "relative probability" and instead, put more emphasis on the fact that the y-axis is not exactly probability. Probability is the area under the curve, and for each curve, the area adds up to 1 (in other words, there is a 100% chance that a baby will have some value under its curve and a 100% chance that an adult will have some value under its curve.)
Hi, Loving your lectures so thank you for this. Just a quick one at 4:11...you mean +/- 4 inches for adults, not +/- 1.2 inches..right? did I miss something ?
You missed something. At that I'm trying to illustrate how the standard deviation of the infants is relatively narrow compared to the standard deviation for adults, and when we use the standard deviation for infants on the distribution for adults, we do not cover much of it.
Support StatQuest by buying my books The StatQuest Illustrated Guide to Machine Learning, The StatQuest Illustrated Guide to Neural Networks and AI, or a Study Guide or Merch!!! statquest.org/statquest-store/
this is kind of late but I was wondering how you got the standard deviation of baby height measurement is +/- 1.2 vs the standard deviation of adult heights of 8? How did we get the value of 1.2 and 8? I am not sure if I used the correct wording or if what I am asking make's sense but hope I can get an answer!
@@santiagoramos1313 I just googled "average adult height" and found a table that listed the mean and standard deviation for the world and individual countries. I then did the same thing for babies. In other words, I didn't calculate those values, I just looked them up in a table.
@@statquest Ah I see! Thank you
Thanks. Its helps me from my today's test
I swear, TH-camrs like you should be the new college professors.
bam!
He is in biotech stats for 20 yrs. Bam
@@vaibhavpandey7398 Double bam!
@@isaaccarroll2092 Triple Bam !
@@DHWOJPRATIK Triple bam😱
I used to be very scared of statistics but after following your videos I just start loving it. It is helping a lot to me in data science field. Thanks
oooo how's the data science field been so far? i'm majoring in CS and was/am considering going into data science after my bachelor's
@@lalthekair Data is huge right now and I think it would be a safe direction to specialize in.
For the first time I don't want a stats video to end so quickly! Awesome video I really enjoyed it thank you so much!
Thank you very much! :)
These unexpected silly songs really relieve the pressure before getting into the subject.
They are an integral part of the Statquest pedagogy, they act as a mind-opener :)))
Thank you very much! :)
That's an awesome point!
Damn, it sure is !!
@@alecvan7143 Indeed.
95% of people who went through this video would understand the Normal Distribution.
Hooray!!! : )
BAM! :)
wouldn't such a stat be binomial distributed?
@@statquest double BAM !
@@kartikaykhattar96 I believe yes as there are only 2 possible outcomes.
However if the question is something like percentage understanding or confidence level in percentage it will likely be normally distributed.
when the phrase "clearly explained" isn't just an empty notion there is a 95% propability that u are watching StatQuest!
Awesome! :)
Ddd
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Wohoo!
dude, you make my day. every time I watch one of your vids I am usually super stressed bc our prof doesn't take the time to explain a darn thing. thanks a lot for making this free and enjoyable
Happy to help!
These videos are literally amazing, every single one is so clear and well presented and the use of visuals is top notch. Can't wait for the central limit theorem one!
Please do Central Limit Theorem!
This video explains normal distribution more clearly and concisely than a 2-hour lecture at my university. Thank you!
Bam! :)
Luckily this video popped out in the beginning of my search list ! Such a clear explanation about Normal distribution that I was struggling to understand since years!
Hooray! :)
Can't thank you enough for this! The simplest explanation of Normal Distribution EVER!
Thank you! :)
this is an extremely precious channel whoever wants to start with stats... Thank you so much for making people's life easy by this channel. N, of course, the starting songs are really congenial.
Thank you very much! :)
One Word! Simply Awesome. After 40 yrs of coming on this earth, today I understood normal distribution and standard deviation. Have been ignoring it since long to understand. Thank you.
BAM! :)
I am just glad I stumbled upon this channel! Statistics was uncomfortable for my machine learning until I found this :)
Hooray! :)
Of course this is THE CHANNEL!
TH-cam's algos are really smart in recognizing the part of the world, that is craving for quality ML videos!
wow this is so much easier to understand then my dense obtuse intro to stats textbook!! thank you so much, i had no idea what they were talking about in that dang book
:)
I subscribed halfway through the intro. when you know, you know.
Edit> I just watched the entire video, it's brilliant. A wonderfully concise overview of the subject. I'm always looking for videos like these to give me the core explanation that I can hang the details on to as I go. 5 minutes to explain what it takes a textbook 50 pages. I can't wait to watch the next video on the central limit theory. Thank you Josh great video.
Wow, thanks!
Did a Google search for the best youtube channels to learn basic stats. I am so glad i found your channel. I am doing a final year of my bachelor and I am doing an online stats course which is not easy to understand. I find that I can "just get by" on the quizes and assignments but I am not really understanding the material. I don't want to just pass, I want to be able to apply stats in business problems (I am a mature student...meaning I am old). Your channel is helping me truly understand stats.
Thank You
Thank you! I'm glad my channel is helpful.
Clear and simple explanation. As most things are in the world. There is not complex or heavy themes or things. There is just people that do not know how to explain it because they do not understand them. I used this explanation for understanding limit of detection in analytical measurements. Thank you
Thank you so much for this.
I spent a good hour re-reading the subchapter on gaussian distribution in my university textbook and I just could not wrap my head around it. This video made it so simple and it has finally "clicked" in my tired, frustrated brain.
Very much appreciated
Glad it was helpful!
best normal distribution explanation till now
thanx
You even didn't explain it until 5 minutes, but gave me a lot of what i need to know from Normal Distribution.
Thank you for the video explanation
Glad it was helpful!
where i've been all my life? the explanation if this channel is literally all i need *crying
Happy to help! :)
I completely agree with Em c!!! I am struggling and after a year, I found your video! For the first time, my head didn't hurt!!! Great, detailed instructional videos!!! Thank you
Glad it helped!
Nothing dealing with math is ever easy, but this video makes the concept of normal distribution palatable. Thanks. A lot.
Thanks!
This channel is extremely good due it's content. Thanks a lot for your service!
Thank you! :)
hello! thank you so much for these videos....ur carrying me through school right now :)
- sad stats student
Happy to help!
the best I've ever come across. THANK YOU!!
BAM! :)
The intro made me smile when I am here begrudgingly. Thanks for that
bam! :)
In love with your channel and your videos!It's destiny (:-P) that I stumbled across your channel a week before the placements!
Thanks! :)
I bought your book - subscribed to your channel. This is the best channel/webpage i have ever seen. Much appreciated.
Thank you very much!!! I really appreciate your support! :)
His enthusiasm for statistics can't help but put a smile on my face while facing my sworn enemy.
BAM! :)
I took many videos on TH-cam channel in stats but I couldn't find it so clear..but this channel is simply superb made me clear
Hooray! I'm glad my videos are helpful. :)
Very very helpful 🤩🤩 because I searched many videos of stats with practical examples but nothing seemed to be helpful..atlast I found yours 🤩❤️love it
@@statquest also please continue uploading many videos
Strange that we have to look for online resources like this one to try to make sense of normal distribution after we have signed up for a paid course thats supposed to teach us the concept. Lecturers and course material just assume most people know distribution at a certain level.
Happy to help!
This makes so much more sense now thank you
bam!
thanks a lot for your work, really helped me to understand the normal distribution better than anything i've read/watched before!
Glad it helped!
I am getting emotional
You made the concept so easy to understand
Thanks! :)
Thanks a lot, professor, for the wonderful explanation on the Normal Distribution. Warm greetings from Uzbekistan.
Many thanks!
all these jingles at the beginning of the videos!!! love them!
Hooray! :)
@@statquest BAM! I just finished my exam today. Your videos are super helpful and also fun. Now I don't watch them for the sake of exams just simply for fun.
@@linianhe Awesome! I hope you did well on the exam.
Thank you! I am taking doing statistics as a GCSE and this is immensely helpful, kudos!
Thank you! :)
The moment I heard your singing in the beginning, I just press subscribe button.
I really like your intro so much! It motivates me more to learn :D
Thank you so much!!
man this song is hilarious, a really good stress reliever haha.
Bam! :)
I clicked on your video of odds by mistake and thanks god this was the most profitable mistake I did in my life.
bam!
Thankyou! You've made this a lot easier to comprehend for a GCSE exam.
Good luck!
@@statquest Thankyou. My son got a 6, so we were delighted with that pass.
@@NihouNi Congratulations! TRIPLE BAM! :)
Thank you. I have an exam tomorrow about this and you helped me a lot!!
Good luck! :)
Wow, I like you. I just like you. 2 days of trying to understand normal Distribution!! You killed it in less than 5mins.
Give me more with practical examples. 🤓
I use the normal distribution many, many videos. For a complete list, see: statquest.org/video-index/
God bless you TH-camrs....really I can't explain how much I've learnt so much..
Thanks!
I have statistics as a part of psychology. This video was quite helpful. ❤❤❤
Glad it was helpful!
You’re a life saver, needed this for psychology 🙏🙏🙏
Good luck!
Wow! I have been struggling with this for a loooong time. Thank you so much
Glad it helped!
this is the best channel on TH-cam
Thanks!
This video is so helpful with simple and detail explanation , Thankyou so much
Thanks!
Completely in love with this channel ❤️
Thank you!
THANKYOU SO MUCH! DIDN'T FIND ANY VIDEO THAT EXPLAINED THIS BETTER!
Glad it helped!
I liked the explanation. Just one small thing i would like to add which many people might overlook.
In real life situations, we do not draw the curve such that its width is defined by the std dev.
Its the other way around. Like we just have data points from which we plot the curve. Then if its a curve satisfying these parameters discussed in the vid, we named it normal disrtibution. So , for example "Peak of the curve is given by avg" is not same as "peak of the curve happens to be the avg".
Idk if i explained it properly but i jusy wanted to point out that the bell curve is not bound to follow these avg and std dev values, more like in this case of disrtibution, which we call as normal, the avg, std dev etc values fall in such that, say 95% of data is inside avg +- sigma width.
How could you find the standard deviations of the curve at 2:57 min?
I describe how to calculate standard deviations in this video: th-cam.com/video/SzZ6GpcfoQY/w-d-xo.html
Simple & excellent explanation ! I am a big fan of StatQuest videos.
Hooray! Thank you!
I get teachers like to explain how this works as it is said on the syllabuses but as a person who has not heard of this i wouldn't understand anything, they should just explain it like this because now i know how to read a normal distribution graph and how to write one as well, thank you :)
Thanks!
3:27 How did you get +-1.2 inches & +-8 inches? You only said that 95% of data are within 2 sdv but you didn't explain how to calculate the range approximation.
For any normal curve, 95% of the data are within 2 standard deviations of the mean. This is just the way those curves are defined. So, since we know the standard deviations of both curves, we can just multiply them by 2 to find out what 2 standard deviations are.
that was amazing!! I HATE statistics and was on the verge of crying and then i stumbled upon your video and it helped a lot! thank you soooo much :)
Hooray! :)
Great video! I will be using this in my classroom, thanks!
Awesome!
I see you reply to so many posts on LinkedIn in which you are tagged, now I saw that you reply to comments too. Great professor
bam!
Its super super exciting to watch your video ,you are doing great job i always had fear of learning statistics but you explained in a very simple way,,Thank you You are awesome
one more thing can you explain poison distribution
Thank you so much 😀!
I'll keep that in mind.
Glad i found this chanell. Gonna watch all your videos 😊. Thank you!
so wonderful explanation... understood from half of the video
Glad it was helpful!
for the low probability of measuring a man +/- 2 standard deviations from the mean, he meant 8 inches right? Not 1.2 because that is the standard deviations of the babies?
ok nevermind i understand. 95% of the curve is represented +/- 2 sd from the mean, so saying there is low probability within its own sd from the mean is not right. But, if compared to the standard deviation of the babies which is a lot low than adult males, then it would have low probability.
yep
You need to teach my university teachers how to teach..
:)
I have a doubt. At 1:04, why did you use the term "relative probabailities"? Also, does that mean that there is something called absolute probabilities?
Technically, there are "likelihoods" and "probabilities". The y-axis coordinates are called "likelihoods", and the area under the curve corresponds to probabilities. That said, in english, the words "likelihood" and "probability" are often used interchangeably (even though they refer to different things in statistics) which is why I used the term "relative probability"
I just found the masterpiece... Thanks Josh!
bam!
This channel is my favorite by far. And the second place goes to 3blue1brown.
Wow! Thank you very much!
commenting because the yt algo needs to favor statquest
Bam! :)
At last!!!
This video cleared my confusions.
Thanks a lot.
Glad it helped!
I'm on my way to college I have a presentation today and guess what you explained me this quite well !!
Good luck!
So glad I found such an awesome channel !
Hooray! :)
Good and simple explanation... if only they had youtube in the 90s i wouldn't be struggling to understand what is normal distribution...lol
Thanks!
My God. It's shocking how clearly i finally understood this, 12 years after graduating with a Masters in Economics!
BAM! :)
Magical lesson. . Superb , please keep it up. Thank you for such a great lecture
Thanks!
Really love it. Thank you so much StatQuest!
Thank you!
Thanks for such a nice explanation. May I know the applications of normal distribution in machine learning?
I think that if you really want to be good at ML, you need to understand data, and the normal distribution is one of the most fundamental concepts for understanding data.
Me flipping the phone at the beginning cause the words were upside down LOL
Ha! That's funny! :)
Your songs in the beginning of the videos are the BEST!
Thank you! Very helpful video :)
Thanks!
Simplest explanation i came across 👍👍👍👍👍
Thank you! :)
Hello, I want to ask a question that at the 02:08, why we can state that we can looking and tell the new born baby will be between 19 and 21 height? Where we choose number 19 and 21? Thank you for your videos and hope you can help me to answer!
The x-axis has height measured in inches, and we can use that to determine what range of heights corresponds to the peak of each curve.
I think there's a typo in minute 4:06 of this video. Shouldn't it say that "and there is a low probability of measuring a man within +/- 8 inches of the mean." ?
No, that is correct. We are comparing an area the same width between both distributions.
Thanks, It made my day : Gaussian Distribution
:)
I think someone is very big fan of Barney Stinson. And his teaching is legen-wait for it-dary
:)
Hello,I got confused at the last part. 😭😭
I don't understand why it is not ".....low probability of measuring a mean within +/- 8 inches of the mean"? (4.08 min)
Please help😢😢
At 3:20 I show that 95% of the measurements of adult males fall between 70 +/- 8 inches. In other words, the probability of measuring an adult that has a height somewhere between 70 +/- 8 inches is 95%. This is a pretty high probability. In contrast, at 4:06, we are looking at the probability of measuring an adult that has a height somewhere between 70 +/- 1.2 inches of the mean. In this case, there is a relatively low probability, especially when compared to measuring a baby with a height somewhere between 20 +/- 1.2 inches. Does this make sense?
@@statquest thanks 😊😊
Thank you! I love your videos so I suscribed a few days ago... Thanks so much for your great content!
Thanks!
There is a typo at 4:13 - it says "there is a low probability of measuring a man within +/- 1.2 inches" but it should be +/- 8 inches. Although, Thank you so much for such an easy explanation.
The video is correct. If it were +8/-8 inches, then the probabilities would be equal, and that was already illustrated at 3:20. In contrast, at 4:13 what I'm trying to show is that two windows, both the exact same size (+/- 1.2 inches around the mean) can result in different probabilities if the standard deviations of the distributions are different.
I cant understand math but then look at this, i learned how to sing
bam?
My UNC Chapel Hill stats professor wasn’t this friendly 😒. Great video btw ☺️👍🏼
Thanks! BAM! :)
4:11 shouldnt it also be a high probability measuring a man within +/- 1.2 inches of the mean? thanks
No, it's relatively low probability because there is a lot more variation in the the height of adults.
So in the chart @3:40, is the y axis probability? If so, then for the adult height curve, even if we take mean +- 2 sd, the probability will be low as the point will be equal to only a low y axis value. But since this should be 95% of all data, the probability should be high right? I'm confused. Can someone explain?
I should have been more clear when I said that the y-axis represented a "relative probability" and instead, put more emphasis on the fact that the y-axis is not exactly probability. Probability is the area under the curve, and for each curve, the area adds up to 1 (in other words, there is a 100% chance that a baby will have some value under its curve and a 100% chance that an adult will have some value under its curve.)
For more details, see my video on maximum likelihood: th-cam.com/video/XepXtl9YKwc/w-d-xo.html
4:13 But is there a high probability of measuring the height of a man within 8 (the 2sd) inches of the mean?
Yes.
I like the way give your spoilers!!! you are a buddy indeed.
Thanks!
Fantastic video, the only thing that could make it better is the chinnese subtitles over the english subtitles. Thank you.
Noted
That was very clear and helpful, thank you!!!
Thanks!
I wish there were multiple times to like the video
bam! :)
Hi, Loving your lectures so thank you for this. Just a quick one at 4:11...you mean +/- 4 inches for adults, not +/- 1.2 inches..right? did I miss something ?
You missed something. At that I'm trying to illustrate how the standard deviation of the infants is relatively narrow compared to the standard deviation for adults, and when we use the standard deviation for infants on the distribution for adults, we do not cover much of it.
@@statquest Ahh that make sense. Appreciate the prompt response. This series is a gem !!