Answer:
Step-by-step explanation:
Hello!
Be two events A and B of the sample space S. A and B are independent when the ocurrence of A doesn't affect the probability of occurrence of B.
Symbolically:
P(B/A)= P(B) -or- P(A/B)= P(A)
If A and B are not independent then P(B/A) ≠ P(B) -or- P(A/B)≠ P(A)
P(A∩B)= P(A)*P(A/B)
a.
A: "the day had precipitation" ⇒ P(A)= 0.32
B: "the day was a weekday" ⇒ P(B)= 0.25
P(A∩B)= 0.08
To check if both events are independent you have to calculate the conditional probability between them and compare it with the probability of the event alone:
[tex]P(B/A)= \frac{P(AnB)}{P(A)} = \frac{0.08}{0.32}= 0.25[/tex]
Then P(B/A)= P(B) ⇒ A and B are independent.
b.
A: "the voter had low income" ⇒ P(A)= 0.25
B: "the voter is a registered Democrat" ⇒ P(B)= 0.45
P(A∩B)= 0.15
[tex]P(B/A)= \frac{P(AnB)}{P(A)} = \frac{0.15}{0.25} = 0.6[/tex]
P(B/A)≠P(B) ⇒ A and B are not independent.
c.
A: "the individual is color-blind" ⇒ P(A)= 0.10
B: "the individual is male" ⇒ P(B)= 0.52
P(A∩B)= 0.08
[tex]P(A/B)= \frac{P(AnB)}{P(B)}= \frac{0.08}{0.52}= 0.15[/tex]
P(A/B)≠P(A) ⇒ A and B are not independent.
d.
A:"The student received an A in Chemistry" ⇒ P(A)= 0.20
B:"The student received an A in Biology" ⇒ P(B)= 0.25
P(A∩B)= 0.05
[tex]P(A/B)= \frac{P(AnB)}{P(B)} = \frac{0.05}{0.25}= 0.2[/tex]
P(A/B)= P(A) ⇒ A and B are independent.
I hope it helps!