6. Probabilities of Mutually Exclusive Events
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If A and B are events that have outcomes in common, then P(AorB) = P(A)+P(B)-P(AandB).
11/25 or 44 %
Events are mutually exclusive when they cannot occur at the same time. Or, they are considered overlapping when they have outcomes in common. The following rules apply for the probability of these types of compound events.
| Mutually Exclusive Events | Overlapping Events |
|---|---|
| P(AorB)= P(A)+P(B) | P(AorB)= P(A)+P(B)-P(AandB) |
student is a juniorand B be
student is on the debate team.Since some students are both a junior and on the debate team, these events are not mutually exclusive. Now, we can find the number of students on the debate team and the number of juniors on the debate team in the given table.
| Club | Soph. | Junior | Senior | Totals |
|---|---|---|---|---|
| Key | 12 | 14 | 8 | 12+14+8=34 |
| Debate | 2 | 6 | 3 | 2+ 6+3= 11 |
| Math | 7 | 4 | 5 | 7+4+5=16 |
| French | 11 | 15 | 13 | 11+15+13=39 |
There are 11 students on the debate team. Out of these, 6 students are juniors. Next, we can calculate the number of juniors and the number of all students in the table.
| Club | Soph. | Junior | Senior | Totals |
|---|---|---|---|---|
| Key | 12 | 14 | 8 | 34 |
| Debate | 2 | 6 | 3 | 11 |
| Math | 7 | 4 | 5 | 16 |
| French | 11 | 15 | 13 | 39 |
| Totals | 12+2+7+11=32 | 14+ 6+4+15= 39 | 8+3+5+13=29 | 34+ 11+16+39= 100 |
Substitute values