3.56:Joint Density & Conditional Prob|Probability & Statistics for Engineers & Scientists by Walpole
Автор: Engineering Tutor
Загружено: 2024-05-15
Просмотров: 1793
Описание:
This video describes the conceptual overview related to finding the dependence and independence of two random variables. Also, the use of conditional probability for different ranges of probabilities has been illustrated. The conceptual overview of the joint density function with conditional probability is explained with the help of problem 3.56.
3.56 The joint density function of the random variables X and Y is
f(x, y) = 6x, 0 greater than x less than 1, 0 greater than y less than 1 − x,
0, elsewhere.
(a) Show that X and Y are not independent.
(b) Find P(X 0.3 | Y = 0.5).
#statistics
#randomvariables
#independentrandomvariables
#dependentvariables
#probabilitydistributions
#probabilityandstatistics
#probability
#discreterandomvariables
#problemsolutions
#jointprobability
#walpole
#basicprobability
#probabilitytricks
Connect with me by subscribing to:
/ @engineeringtutorofficial
Happy Learning :-)
Повторяем попытку...
Доступные форматы для скачивания:
Скачать видео
-
Информация по загрузке:
![[Chapter 6] #4 Joint distribution of two continuous random variables](https://ricktube.ru/thumbnail/Ty64JsNlcnk/mqdefault.jpg)
