This is great. I've learned about combinations in finite math, the normal curve in statistics, and the concepts behind integrals in calculus but this is the first lesson I've had that combined all three. Let's try to summarize the lesson in one sentence: the distribution of the frequencies of combinations of a set of n approaches the normal distribution as n approaches infinity. A wordy sentence to be sure, hence the video. Still, so cool!
hey Brandon, i've been watching your videos regularly the past couple weeks to gain a better understanding of stats. out of curiousity, when you were learning these subjects, about how many hours per day or week did you devote to reading/learning? given that you're a lifelong learner, i'm curious to know what percent of your days/weeks are spent learning new things. :)
Thank you first. Q: permutation instead of combinations would also hold the same logic u presented using combinations under the curve? N to the power n is in case of sampling distributions, under the curve?
This is great. I've learned about combinations in finite math, the normal curve in statistics, and the concepts behind integrals in calculus but this is the first lesson I've had that combined all three.
Let's try to summarize the lesson in one sentence: the distribution of the frequencies of combinations of a set of n approaches the normal distribution as n approaches infinity.
A wordy sentence to be sure, hence the video. Still, so cool!
Your lectures are mind blowing! Thanks and love! God bless!
You and your unique way of teaching are both OP (over-powered). Enjoyed every bit of stats in it. Thanks for such amazing content.
i am loving this journey "under the hood"...
This is a legendary lecture...Thanks Brandon
Sir, your videos are extremely helpful. Thanks a ton.
Excellent explanation for area under the curve
You explain things so well. Thank you
Hi! Any place where I can get some practice of all this basics? great videos!
Amazing Lecture, thank you so much..
You are the best teacher I've found on statistical concepts. Thank you so much!
Kindly link the video containing the answer to the last unsolved problem in the description (which video in the entire playlist?)
hey Brandon, i've been watching your videos regularly the past couple weeks to gain a better understanding of stats. out of curiousity, when you were learning these subjects, about how many hours per day or week did you devote to reading/learning? given that you're a lifelong learner, i'm curious to know what percent of your days/weeks are spent learning new things. :)
Thank you first.
Q: permutation instead of combinations would also hold the same logic u presented using combinations under the curve?
N to the power n is in case of sampling distributions, under the curve?
SUPER EXPLANATION
Excellent !
Given a set of data, how do I tell what the distribution is?
nice video to make it soo soo simple.. :)
sadly missing the solution to the two problems of the Bank. and the next videos suddenly jump to sets :-(
Thanks!
Could you kindly explain C=(3,0)=1 or =0 ?
0! is taken as 1. also C(3,0) means there is only 1 way of choosing nothing from a bunch
Total Number of combinations of n objects is 2^n
n!/(r!*(n-1)!), n=3 and r=0
Just plug those in.
Ñ
MT,FM.
So much better than Sigma 0 ..n of C(n,i) = 2 to power n. Pascal's Triangle etc...