Normal Distribution (PDF, CDF, PPF) in 3 Minutes
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- Опубліковано 11 сер 2023
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The normal distribution is the most famous and common distribution in science and mathematics. In a few minutes, we will deep dive into its PDF, CDF, and PPF variants.
This video has been inspired by 3Blue1Brown, and special thanks to Grant Sanderson and the ManimCE community.
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Music used
Documentary by Coma-Media
pixabay.com/music/ambient-doc... - Наука та технологія
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?
Holy crap this was good. So intuitive.
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!!
Now this is called crystal clear explanation. Thanks for all the efforts you put in to create this wondeful video. Very Informative !
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.
Amazing! Just bought the two books! Thank you!
You deserve more subscribers! Really nice video! The best one on this topic!!!
I just found your channel, super happy, thanks.
Great video, I've subscribed and I hope to see more from this channel soon
PPF was new for me. Thanks!
this is incredible!
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.
Best! I liked and subscribed to your channel.
Thanks a lot!
Good stuff. Reviewing and this was a solid visual aid. On crip
Yo bro man. That is a great explanation. Keep up the great work!!!! Support from INDIA-IIT KGP
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 : )
👍👍👍
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.
You are the goat.
🐐
If you increase sigma you show a platykurtic kurtosis, shouldn't a platykuirtic have a lower sigma?
Great summary! But does this apply to collies??
😂 Hi Steve!
☯️🙏
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.
A brilliant explanation
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 😂
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.
Your video length is more than 5 min😂😂😂
exclude the intro. haha