This is literally the best video I've came across that let me intuitively understand not only Normal Distributions, but especially PDFs and CDFs, along with PPFs that I didn't know about.
Man this is real gold. I already know what normal distribution and all are, I just casually clicked your video and was engaged till the end. This is some serious editing and animation of those graphs right there. Subscribed.
This is beautifully done! I can imagine a time (not long from now) when these presentations can be made interactive with an AI that can alter these graphics and explanations to respond to student questions. That will be quite an exciting time for education.
Your animations are incredibly intuitive and seamlessly break down the mathematical concepts into comprehensible chunks! I'm lucky to have you on RUclips.
The Z-scores are the x-axis but only after the standard deviation has been scaled to 1, and the mean has been scaled to 0. If I have time I'll make a video about this.
To support more videos like this, please check out my O'Reilly books. Essential Math for Data Science amzn.to/3Vihfhw Getting Started with SQL amzn.to/3KBudSY Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial! oreillymedia.pxf.io/1rJ1P6
Hello and thank you for the content. I bought your book (essential math for data science)from AMZ on kindle but it has trouble displaying the formulas, any idea to fixe that?
@@02chlef Try rendering it on a different device? Definitely file an issue with Amazon support but I'll look into it on my end as well. Usually that's a bug on Amazon's end.
I will make a video about this later, but the probability of getting EXACTLY 61.53 pounds... is 0%. In continuous variables, decimals can have an infinite number of decimal places, driving any specific value to have a probability of 0. You have to look up ranges of areas to get probabilities instead.
I know that you write books about statistics, but you made a mistake in the formula of the normal distribution. In the first term the sigma must be as sigma squared within the square root. This is is important, because if you put sigma infront of the root and sigma is negative, then also the likelihood in of your PDF will become negative which makes no sense. I made this mistake myself once and it caused my some trouble in my calculations, hence I know this pain very well...
Yes. It looks like I removed the errata (this was a typo in the math latex) in the description when I updated it, I’ll put it back later today. Thanks for reminding me.
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This is literally the best video I've came across that let me intuitively understand not only Normal Distributions, but especially PDFs and CDFs, along with PPFs that I didn't know about.
I moved from crying to "I got this!" in 5 minutes! thank you!!
Man this is real gold. I already know what normal distribution and all are, I just casually clicked your video and was engaged till the end. This is some serious editing and animation of those graphs right there. Subscribed.
This is beautifully done! I can imagine a time (not long from now) when these presentations can be made interactive with an AI that can alter these graphics and explanations to respond to student questions. That will be quite an exciting time for education.
Your animations are incredibly intuitive and seamlessly break down the mathematical concepts into comprehensible chunks! I'm lucky to have you on RUclips.
Now this is called crystal clear explanation. Thanks for all the efforts you put in to create this wondeful video. Very Informative !
Holy crap this was good. So intuitive.
Really simple but exactly what I needed. Excellent video! Please, PLEASE, make more videos! I saw you only have 18 since 2022.
Thank you 🙏 Really glad it helped you! Doing my best to get videos out at a steady rate even if it’s not frequent.
omg... I have taken stats in high school, undergrad, and grad school and they never made it make sense like this.... THANK YOU!
the way i knew this topic was easy but couldn't understand it till this video. Thank you!!
I like it, thanks.
I'm not a mathematician but I have had to pick up a lot of this skill - probability is beginning to make sense.
Thank you so much
I wish professors explain it the way you do!
Amazing! Just bought the two books! Thank you!
You deserve more subscribers! Really nice video! The best one on this topic!!!
Love it. You inspired me to do similar content and it’s been an amazing journey
Amazing explanation 🙌
You forgot a negative in the exponent component of the PDF for a normla dist
Noted, thank you! I'll put an errata up later.
PPF was new for me. Thanks!
I just found your channel, super happy, thanks.
Finally Got the concept after months(years even maybe...) Thank You So Much
I got a followup video coming this week that uses these concepts for hypothesis testing. Stay tuned : )
Great video, I've subscribed and I hope to see more from this channel soon
Yo bro man. That is a great explanation. Keep up the great work!!!! Support from INDIA-IIT KGP
Today, I saw light.
Why does most data gives a bell curve?....is it due to the sample size?
I thought it's another grant Sanderson video or 1blue one three brown What thanks for this very helpful
crystal clear!!! Thanks
Good stuff. Reviewing and this was a solid visual aid. On crip
Amazing video
Best! I liked and subscribed to your channel.
THIS IS FUCKING BRILLIANT
Amazing animation! What software did you use to create it?
I used Manim. I shared a tutorial here. ruclips.net/video/qcL-rT3jZfk/видео.htmlsi=EnG8ThB-mcjOsakw
@@3-minutedatascience Thank you!
this is incredible!
Shouldn't the formula contains a negative(-) sign before the power of e? I mean e^ - (1/2)
Yes, I need to put the errata back in the description : )
If you increase sigma you show a platykurtic kurtosis, shouldn't a platykuirtic have a lower sigma?
Thanks a lot!
Thank you
Great summary! But does this apply to collies??
😂 Hi Steve!
sir, can you please share which software do you use for editing ?
I use Manim to do the animation renders, and formerly used iMovie for editing but have moved to KDenLive these days.
@@3-minutedatascience thank you so much for sharing !
The music in this video is distracting. I'd say get a better microphone and turn the music down.
Noted, thanks! I'm getting better at editing.
Nah I like the music, its vibey 😂
Fix your earphone
Your opinion is both wrong and cringe, Alyssa Schroeder
Margarita Knolls
McLaughlin Village
Jackson Field
Grady Locks
is the x axis z score for normal distribution?
The Z-scores are the x-axis but only after the standard deviation has been scaled to 1, and the mean has been scaled to 0. If I have time I'll make a video about this.
lovely
sir you dont use subtraction in normal dist formula
Yes! I seem to have removed the errata in the description, I'll put it back up.
You are the goat.
🐐
Batz Crescent
To support more videos like this, please check out my O'Reilly books.
Essential Math for Data Science
amzn.to/3Vihfhw
Getting Started with SQL
amzn.to/3KBudSY
Access all my books, online trainings, and video courses on O'Reilly with a 10-day free trial!
oreillymedia.pxf.io/1rJ1P6
Hello and thank you for the content.
I bought your book (essential math for data science)from AMZ on kindle but it has trouble displaying the formulas, any idea to fixe that?
@@02chlef Try rendering it on a different device? Definitely file an issue with Amazon support but I'll look into it on my end as well. Usually that's a bug on Amazon's end.
Winfield Island
at 2:30....why is looking at likelihood NOT meaningful in itself ?
I will make a video about this later, but the probability of getting EXACTLY 61.53 pounds... is 0%. In continuous variables, decimals can have an infinite number of decimal places, driving any specific value to have a probability of 0. You have to look up ranges of areas to get probabilities instead.
👍👍👍
Bradly Cliff
A brilliant explanation
☯️🙏
I know that you write books about statistics, but you made a mistake in the formula of the normal distribution. In the first term the sigma must be as sigma squared within the square root. This is is important, because if you put sigma infront of the root and sigma is negative, then also the likelihood in of your PDF will become negative which makes no sense. I made this mistake myself once and it caused my some trouble in my calculations, hence I know this pain very well...
Yes. It looks like I removed the errata (this was a typo in the math latex) in the description when I updated it, I’ll put it back later today. Thanks for reminding me.
Your formula for the normal distribution is wrong. It should be e^-1/2... not e^1/2...
Your video length is more than 5 min😂😂😂
exclude the intro. haha
Gaylord Pine