Complete the following probability distribution table and then calculate the stated probabilities. HINT [See Quick Example 5.]
Outcome a b c d e Probability 0.1 0.09 0.5 0.01 _____
(a) P({a, c, e}) P({a, c, e}) =
(b) P(E ∪ F), where E = {a, c, e} and F = {b, c, e} P(E ∪ F) =
(c) P(E'), where E is as in part (b) P(E') =
(d) P(E ∩ F ), where E and F are as in part (b) P(E ∩ F) =
Solution :
The total probability must be equal to one.
P(a) = 0.1, P(b) = 0.09, P(c) = 0.5, P(d) = 0.01
Hence, P(e) = 1 - (0.1 + 0.09 + 0.5 + 0.01)
P(e) = 0.3
| Outcome | a | b | c | d | e |
| Probability | 0.1 | 0.09 | 0.5 | 0.01 | 0.3 |
a) P({a, c, e}) = P(a).P(c).P(e)
P({a, c, e}) = 0.1 × 0.5 × 0.3
P({a, c, e}) = 0.015
b) E = {a, c, e} and F = {b, c, e} then we have to find P(E ∪ F)
(E ∪ F) = {a, b, c, e}
P(E ∪ F) = P({a, b, c, e})
P(E ∪ F) = 0.1 × 0.09 × 0.5 × 0.3
P(E ∪ F) = 0.00135
c) P(E') = 1 - P(E)
P(E') = 1 - P({a, c, e})
P(E') = 1 - (0.1 × 0.5 × 0.3)
P(E') = 1 - 0.015
P(E') = 0.985
d) E = {a, c, e} and F = {b, c, e} then we have to find P(E ∩ F)
(E ∩ F) = {c, e}
P(E ∩ F) = P({c, e})
P(E ∩ F) = 0.5 × 0.3
P(E ∩ F) = 0.15
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