Respuesta :
Conditional probabilities relate events where one event depends on the other.
The formula for these types of events is:
[tex]P(BgivenA)=\frac{P(AandB)}{P(A)}[/tex]
or, written another way:
[tex]P(B|A)=P(A&B)/P(A)[/tex]
Using the known values:
[tex]\frac{6}{11}=P(A&B)/\frac{5}{12}[/tex]
[tex]P(A&B)=\frac{6}{11}\times\frac{5}{12}[/tex]
[tex]P(A&B)=\frac{30}{132}[/tex]
The formula for these types of events is:
[tex]P(BgivenA)=\frac{P(AandB)}{P(A)}[/tex]
or, written another way:
[tex]P(B|A)=P(A&B)/P(A)[/tex]
Using the known values:
[tex]\frac{6}{11}=P(A&B)/\frac{5}{12}[/tex]
[tex]P(A&B)=\frac{6}{11}\times\frac{5}{12}[/tex]
[tex]P(A&B)=\frac{30}{132}[/tex]
In classical probability P( A and B ) is simply P( A x B)..that is the "AND" rule.
here we are dealing with bayesian probability. I'm not an expert in bayesian probability.
here we are dealing with bayesian probability. I'm not an expert in bayesian probability.