The Ultimate Univariate #Probability Distribution Explorer j.mp/1Xun863
【#微课程#：#概率论#】辨析：#概率分布#（#frequency distribution#）与#频率分布#（#frequency distribution#）的区别 j.mp/1oM6t1K #中文
What’s the difference between A=B and P(A=B) = 1? j.mp/21kcl4f #probability #math
quora.com
What is the difference between A = B and \mathbb{P}(A = B) = 1?
Answer (1 of 3): Note: there is an extra part to this answer, based on my comment to Peter Johansson's comment, that is now at the below. Justin Rising's and Michael Lamar's answers are completely...
In #probability, #disjoint events with positive probabilities must be dependent: j.mp/1N7Jumh
beta prime #distribution j.mp/19X9Zic
wolframalpha.com
beta prime distribution - Wolfram|Alpha
Wolfram|Alpha brings expert-level knowledge and capabilities to the broadest possible range of people—spanning all professions and education levels.
A real #book: A Million Random Digits with 100,000 Normal Deviates j.mp/17ilEHn, data: j.mp/1EbAlJv
#MontyHall problem is a very counterintuitive problem in #probability. j.mp/15OUpUM
#Hoeffding’s inequality applied to binomial experiment: j.mp/1ySOysD
In #Bayes probability, #posterior_probability is conditional probability after taking into account evidences. j.mp/posterior_prob
In #statistics, #probability is function of outcome with fixed parameters, #likelihood , function of parameters with fixed outcome and model
#Monty_Hall problem is a good mnemonic example of conditional probability and #Bayes's theorem j.mp/1poKMPa
Difference between convergence in #probability vs. almost sure convergence j.mp/1yur9Pa
In #statistics, a #nuisance_parameter is one that's not of direct interest itself but must be accounted for in analyses.
〖#probability theory〗Intuitive corollary of Markov inequality in #probabiity theory: Pr(X > n E[X]) < 1/n
#NPR special #radio program series about #probability in everyday life: “Risk and Reason” j.mp/1qetXro
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