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).
14/25 or 56 %
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) |
player is 14and B be
player plays basketball.Since some students are both 14 and play basketball, these events are not mutually exclusive. Now, we can find the number of players aged 14 and the number of basketball players aged 14 in the given table.
| Graceland Sports Complex | ||||
|---|---|---|---|---|
| Age | Soccer | Baseball | Basketball | Total |
| 14 | 28 | 36 | 42 | 28+36+ 42= 106 |
| 15 | 30 | 26 | 33 | 30+26+33=89 |
| 16 | 35 | 41 | 29 | 35+41+29=105 |
There are 106 players aged 14. Out of these players, 42 play basketball. Next, we can calculate the number of basketball players and the number of all players in the table.
| Graceland Sports Complex | ||||
|---|---|---|---|---|
| Age | Soccer | Baseball | Basketball | Total |
| 14 | 28 | 36 | 42 | 106 |
| 15 | 30 | 26 | 33 | 89 |
| 16 | 35 | 41 | 29 | 105 |
| Total | 28+30+35=93 | 36+26+41=103 | 42+33+29= 104 | 106+89+105= 300 |
Substitute values