Amazing!!! I am always excited to get to learn and understand it better from you whenever my professor is not doing a great job at that (@ least for me). Also, I sometimes start with you and then listen to my professor afterward when things are more bearable 🙂. I appreciate your work tons. Thank you!
Nice work! Though it's strange that the probability of getting 4 or less calls wouldn't already be a part of getting 5 or more calls and in that sense its probability should've been higher, but this makes sense too in its own way
I'm early and idk if I will ever be here early again. I'm thankful for this opportunity and thankful for everyone seeing this comment, even if I get hate. Chidvi out ✌️
Over the last year, them mean number of patients arriving per day for urgent care at an Urban health clinic is 20 patients per pay. a) What is the probability of more than 25 urgent care patients arriving in a single day? this is p(x>25) b) What is the probability of fewer than 10 in a day? p(x
Patrick i really appreciate ur video's ive been watching them since algebra stuff now im at calc 3 ( polar ) , id love it if you make your book available at google book store. Since ordering one will cost more than the book to deliver here ( Saudi Arabia ) .
A common example used as a "real life" instance. However, some basic intuition can quickly disqualify the Poisson Distribution as a practical/accurate representation of distribution of calls in a call center. Namely, the assumption that the probability of calls are constant over any time interval is not going to hold for most call centers. The probability of incoming calls will vary greatly over intervals for most call center. For instance, due to seasonal reasons, due to promotional event, due to an unexpected disaster such as a software bug or power outage...etc.
I remember when I watched your channel everyday for my final exams back in 2012. Sir, you deserve a medal.
This is the clearest explanation I have ever seen. Thank you bro
Nice video... u should make more probability based videos since u r so good at explaining...thnks for sharing ur knowledge with us😇
your videos will make us graduate for sure!!!
You are an absolute hero man. I hope you hit a million subs one day!
He did it !
Amazing!!! I am always excited to get to learn and understand it better from you whenever my professor is not doing a great job at that (@ least for me). Also, I sometimes start with you and then listen to my professor afterward when things are more bearable 🙂. I appreciate your work tons. Thank you!
Great job! It really helps to see it written out step-by-step when you’re learning.
Thank you for breaking it down in a way that I could understand!
Very rarely do I like and comment a video. Thanks for making these videos.
HEY PATRICK IS BACK!!!
yea, i have not left :) i get bad allergies during most of January and feel sick for most of it but am starting to feel better again :)
Nice work! Though it's strange that the probability of getting 4 or less calls wouldn't already be a part of getting 5 or more calls and in that sense its probability should've been higher, but this makes sense too in its own way
Poissonian Models are very used for Communications Engineers to estimate when the channel/media is being used
Mateus Marcuzzo yeah it was there is my computer networks course
cool! thanks for some insight. i love these sorts of comments.
Glade to see the use of summation notation.
Which Book do you use?
Do you have an New and recent statistics & probabilities problems or help! You the best!
Hey there 🖐️.. I would like to know the name and author of that book?
Simply Superb!
Nice job friend keep it up
what is the name of your book, Pleaes?
What you've the been given a time period, for example, remove 9 for that example, would lambda still be 6?
What is the name of that book please
Good...explaination..👌👌👌
Mann thanks for explaining
Can you tell me what book is used in this video?
I like your video, post more videos on the topic
Could you do a video on Picard's Method of solving differential equations? I can't find a good explanation of it anywhere :(
what book is this? (shown)
I'm early and idk if I will ever be here early again. I'm thankful for this opportunity and thankful for everyone seeing this comment, even if I get hate. Chidvi out ✌️
Thanks man 🙏🏽
Hey there patrick super video, great job, you think you could do a video of a real life exemple of hypergeometric distribution too ?
funny you should mention it, that is the video that i am going to make tomorrow :)
Awesome ! Looking forward so see it
Can this be done in Excel and spss?
Over the last year, them mean number of patients arriving per day for urgent care at an Urban health clinic is 20 patients per pay.
a) What is the probability of more than 25 urgent care patients arriving in a single day? this is p(x>25)
b) What is the probability of fewer than 10 in a day? p(x
How does one say that the distribution follows poisson distribution or normal? Is that an assumption?
Sir can you please do a video on convolution theorem
Damn! I did this earlier today in further maths! This is weird!!
Hey Patrick I need your help in lepto kurtic, Meso kurtic and platy kurtic.
Patrick i really appreciate ur video's ive been watching them since algebra stuff now im at calc 3 ( polar ) , id love it if you make your book available at google book store.
Since ordering one will cost more than the book to deliver here ( Saudi Arabia ) .
the book is out of my hands, wiley has control over it
Patrict please make video about actuary
Lefties unite!!! Cheers for the vid was really good
Just pledged 1$ a month. Not much but it's a little more than a 'thank you' :)
i totally appreciate it :) if even 10% of the subs did this, i would be a very happy guy! :)
patrickJMT if 10% of your subs did this you’d make a little under a million bucks this year so I bet you’d be happy ;)
I’m sure barely any of them are active tho 🤷🏻♀️
Please spread the word that nancy pi is back. Please share or feature her channel.
i have
Since you’re so advanced in math, you must be somewhat decent at chemistry... right?
Hmm..no
yep, tyler dewitt is the person to watch for chemistry!
A common example used as a "real life" instance. However, some basic intuition can quickly disqualify the Poisson Distribution as a practical/accurate representation of distribution of calls in a call center. Namely, the assumption that the probability of calls are constant over any time interval is not going to hold for most call centers. The probability of incoming calls will vary greatly over intervals for most call center. For instance, due to seasonal reasons, due to promotional event, due to an unexpected disaster such as a software bug or power outage...etc.
😭😭I wish you could do Actuarial financial Mathematics @patrickJMT
that would be pay per view
Since you are really good in math, can you please do python ?
Intuitively i thought it would be 66% chance by solving for x knowing that 6 is 100% and the other limit is 4 🤷♀️
You would think the probability of getting 5 calls will be slightly above 0.28 as well 🤷♀️
Just started my master in applied statistics with an undergrad that is not in stat.. enjoying your videos they are a great help 🙏🏻
Bro its working in the principle of Poissons ratios so it's bound to be out of our intuition unless u have learnt the entire table. Like that of logs.
Waste