Respuesta :
In order to determine if the events are independent or not we need to find the conditional probabilities.
The conditional probability of event A, given event B is denoted as P(A|B)
[tex]P(A|B)= \frac{P(A*B)}{P(B)} [/tex]
P(A*B) indicates P(A and B)
Using the values, we get:
[tex]P(A|B)= \frac{0.28}{0.8}=0.35 [/tex]
Since P(A|B) is not equal to P(A) this indicates that occurrence of event B has an impact on the occurrence of event A. This shows that the two events are dependent.
Therefore, the correct option is the second one.
2. A and B are not independent events because P(A∣∣B)≠P(A)
The conditional probability of event A, given event B is denoted as P(A|B)
[tex]P(A|B)= \frac{P(A*B)}{P(B)} [/tex]
P(A*B) indicates P(A and B)
Using the values, we get:
[tex]P(A|B)= \frac{0.28}{0.8}=0.35 [/tex]
Since P(A|B) is not equal to P(A) this indicates that occurrence of event B has an impact on the occurrence of event A. This shows that the two events are dependent.
Therefore, the correct option is the second one.
2. A and B are not independent events because P(A∣∣B)≠P(A)
Answer:
Therefore, the correct option is the second one.
2. A and B are not independent events because P(A∣∣B)≠P(A)
Step-by-step explanation: