Respuesta :
Answer:
P(Y | X)= P(Y)
P(X | Y)= P(X)
Step-by-step explanation:
If events X and Y are independent, then following results are true:
- [tex]P(Y/X) = P(Y)[/tex]
- [tex]P(X/Y) = P(X)[/tex]
What are independent events?
" Independent events are defined as the events which are not depend on any other events."
Condition used for independent events
[tex]P(X\cap Y) = P(X) \times P(Y)[/tex]
According to the question,
Given event X and Y are independent,
[tex]P(X/Y) = \frac{P(X\cap Y)}{P(Y)}[/tex]
Substitute the value of [tex]P(X\cap Y)[/tex] we get,
[tex]P(X/Y) = \frac{P(X) \times P(Y)}{P(Y)}[/tex]
[tex]= P(X)[/tex]
Similarly for independent events X and Y we have,
[tex]P(Y/X) = \frac{P(X\cap Y)}{P(X)}[/tex]
Substitute the value of [tex]P(X\cap Y)[/tex] we get,
[tex]P(Y/X) = \frac{P(X) \times P(Y)}{P(X)}[/tex]
[tex]= P(Y)[/tex]
Hence, if events X and Y are independent, then following results are true:
- [tex]P(Y/X) = P(Y)[/tex]
- [tex]P(X/Y) = P(X)[/tex]
Learn more about independent events here
brainly.com/question/13488890
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