Mutually Exclusive & Independence (WJEC GCSE Maths & Numeracy (Double Award)): Revision Note
Exam code: 3320
Mutually Exclusive & Independence
What are mutually exclusive events?
Two events are mutually exclusive if they cannot both happen at the same time
In one go / attempt / trial of an experiment, if the first event happens, then the second event cannot happen
e.g. when rolling a dice, the events “getting a prime number” and “getting a 6” are mutually exclusive (as 6 is not prime)
If A and B are mutually exclusive events, then
the probability of A and B happening is zero
the probability of either A or B happening is found by adding
P(A) + P(B)
The complement of event A is the event where A does not happen
Complementary events are mutually exclusive
Probabilities are related by
P(complement of A) = 1 - P(A)
e.g. if P(yellow) = 0.3 then P(not yellow) = 1 - 0.3 = 0.7
Worked Example
A bag contains 20 counters: 5 Red (R), 8 Blue (B), and 7 Yellow (Y).
A single counter is drawn from the bag.
Calculate the probability of selecting either a Red counter or a Blue counter on a single draw.
Answer:
The events "selecting a red counter" and "selecting a blue counter" on the same draw are mutually exclusive (the counter cannot be both colours)
Add their probabilities together
P(red or blue) =
What are independent events?
Two events are independent if one occurring does not affect the probability of the other occurring
For example: when flipping a fair coin twice the events “getting a tails on the first flip” and “getting a tails on the second flip” are independent
If A and B are independent events then
The probability of A and B occurring is P(A) x P(B)
This result can be used to test whether two events are independent or not
i.e. A and B are only independent if the probability of them both happening is exactly equal to P(A) x P(B)
Worked Example
A standard unbiased 6-sided dice is rolled twice.
Calculate the probability of rolling a 4 on the first roll and an even number on the second roll.
Answer:
Rolling a 4 on the first roll does not affect the probability of rolling an even number on the next roll
These events are independent
Therefore we can use the result "the probability of A and B occurring is P(A) x P(B)"
The probability of rolling a 4 on the first roll is
The probability of rolling an even number (2, 4, 6) on the second roll is
The probability of "rolling a 4 on the first role" and "rolling an even number on the second roll" is equal to P(A) x P(B)
P(rolling a 4 then rolling an even) =
Examiner Tips and Tricks
In the previous example, 'rolling a 4 on the first roll" and "rolling an even number on the second roll" cannot be mutually exclusive as they happen on different trials of the experiment.
Worked Example
A teacher records data for 20 students about two events:
Event A: The student revised the night before a test.
Event B: The student scored at least 70%.
The results are summarised in the two-way table below.
Scored at least 70% (B) | Scored less than 70% (not B) | Total | |
|---|---|---|---|
Revised (A) | 7 | 3 | 10 |
Did not revise (Not A) | 4 | 6 | 10 |
Total | 11 | 9 | 20 |
Determine if the events A and B are independent or not.
Answer:
If A and B are independent events then the probability of A and B occurring is P(A) x P(B)
Find P(A) which is the probability that the student revised the night before the test
Find P(B) which is the probability that the student scored at least 70%
Find the probability of A and B occurring by looking at the right place on the table
These are the students who revised and scored at least 70%
Now test if is equal to the calculation P(A) x P(B)
This is not equal to
Make a conclusion
Events A and B are not independent as does not equal
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