Комментарии:
"you cant roll a 7 on any dice I've seen" I see someone who has never played D&D before . Thank for the video btw.
ОтветитьIs the cdf grapgh of a pdf always an s shaped curve?
ОтветитьExponential distribution (CDF looks exponential) is a common way to model reliability. If I would now do some Monte Carlo simulation with inverse transform sampling so that I got a group of failure times as an output, do I already see the outcome from that plotted PDF i.e. the higher the Y-axis value peak the more failure times around that time (X-axis) I would expect? The PDF of that exponential function is a decreasing curve but the hazard rate is constant. Why do we call that memoryless (yes, the hazard is constant) even though we would get more failure time values according to the PDF in the beginning (because it looks to be a decreasing curve)?
ОтветитьGreat video. Thank you very much!!
Ответитьamazing video!
ОтветитьHow can a pdf be greater than 1 ?
ОтветитьI have been searching for hours and I am so glad I found your video. Best explanation of PDF, PMF and CDF hands down.
ОтветитьWhat is meant by saying continuous probability distributions cannot take a specific value but takes values between interval?
ОтветитьThese are just so good. Thank you so much!
ОтветитьThank you very much 👏
Ответитьexcellent explanation, thank you!
Ответитьsir/guys for a random variable how the probabilities are calculated and how the graph is plot can u please explain or provide any link to refer for good explanation iam confused 🤧
Ответитьthank you so much for the wonderful explanation, the visuals sure made the concept easier to understand
Ответитьso elegant, so beautiful , just looking like a wow....
ОтветитьThis video helped a lot, thanks for all the effrort you have put to this video and this explanation is way better than most teachers. Thanks again, and have a great day.
ОтветитьExcellent Information and a great way of explaining things
ОтветитьThis was oddly relaxing. Like watching Rembrandt paint.
ОтветитьThank you so much, you solved my basic queries :)
Ответитьexplained it so well, thank you so much
ОтветитьDamn!!
Thanks man
So usefull, thank you so much for this gem
Ответитьthanks sir, great explanation.
ОтветитьJust the perfect video I was looking for regarding PDF & CDF
ОтветитьYOU ARE THE BEST! I am following you fron Austria and you have saved me so much time through this great video. I'll make sure I buy you a beer or two when I go to visit a friend in OZ next year. Thank you, thank you, thank you!
ОтветитьThanks for the video. I was looking up PDFs to understand Maxwell's velocity distribution & this really helped!
ОтветитьAmazing!! As smoothly and simply explained as possible
ОтветитьBeautiful explanation, I was really confused with this.. not anymore!
ОтветитьInsane
Thanks you
got my subscribe, thank you so much for explaining this so intuitively
ОтветитьThats was really clear and helpful, thank you so much ❤❤❤❤❤❤❤
ОтветитьSo good! Thank you so much!
Ответитьmuch appreciated the effort in making this beautiful piece of art
ОтветитьThank you so much for this precise yet concise explanation. It was really helpful!
Ответитьsuperb explanation !!!, just got wonderful feel of distribution
ОтветитьGoat
Ответитьyou did what my prof tried to teach in a month
ОтветитьYOU ARE JUST THE BEST AT EXPLAINING THIS! Please continue!
ОтветитьGREAT EXPLANATION. THANKS A LOT!
Ответитьthanks so much, that was a great video
ОтветитьThank you for making this video! The best I’ve seen on PDF, CDF. That last bit was pure gold 👏
ОтветитьThis is brilliant! Thank you!!!!
ОтветитьYou helped me understand a 1000x more than my professor ever could. Thank you so much.
ОтветитьI finally understood it. Amazing! Thank you thank you thank you!
ОтветитьWonderful video. Thank you!
ОтветитьThank you for nice and simple explanation.
ОтветитьThanks!
ОтветитьThank you for the video
Sir . Can you explain about random number and random variable
Very grateful for your videos nice visuals and content . Subscribed
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