Probability carries about 15 marks in Paper 1. The rules are short, but questions combine them with Venn diagrams and unknowns, so you need to know exactly which rule applies to which kind of event.
The addition rule
For any two events and :
The overlap is subtracted because it is counted twice when you add and .
Example. , and .
Mutually exclusive and complementary events
Mutually exclusive events cannot happen at the same time: , so
Complementary events are mutually exclusive and together cover every outcome:
Example. A learner is chosen at random. "In Grade 11" and "in Grade 12" are mutually exclusive. "Passed" and "did not pass" are complementary.
"At least one" questions are usually quickest with the complement: .
Independent events
Events are independent if one happening does not change the probability of the other:
Use this as a test: calculate both sides. If they are equal, the events are independent.
Example. and , with and independent.
Do not confuse independent with mutually exclusive. Mutually exclusive events with non-zero probabilities are never independent.
Venn diagrams
A Venn diagram shows overlapping events. Fill it in from the inside out:
- Start with the intersection of all the events.
- Fill in the regions for exactly two events.
- Fill in each event's "only" region by subtracting.
- The region outside all circles makes the total 1 (or the total number).
Example. Of 120 learners, 70 play sport, 50 do music and 25 do neither. Let do both:
So 45 play sport only, and .
With three events, label every region and use given relationships (such as independence or mutually exclusive events) to form equations.
Key terms
Sample space
The set of all possible outcomes, written .
Mutually exclusive
Events that cannot occur together.
Complementary events
Two mutually exclusive events whose probabilities add to 1.
Independent events
Events where .
Intersection
The outcomes in both events, or ' and '.
Common mistakes
Adding probabilities of events that overlap without subtracting the intersection.
Confusing mutually exclusive with independent.
Filling a Venn diagram from the outside in, which double-counts the overlap.
Giving a probability greater than 1 or a negative region in a Venn diagram without noticing.
Practice questions
Reveal steps one at a time, then tick the marks you earned.
Question 1
3 marks total
, and . Calculate .
Worked solution
Hidden - try the question first
Question 2
5 marks total
and are independent events with and . Calculate:
(a) (1)
(b) (2)
(c) (2)
Worked solution
Hidden - try the question first
Question 3
6 marks total
In a group of 120 learners, 70 play sport (), 50 take music () and 25 do neither.
(a) How many learners do both sport and music? (2)
(b) Calculate the probability that a learner chosen at random plays sport only. (2)
(c) Are the events and independent? Show calculations. (2)
Worked solution
Hidden - try the question first
Question 4
9 marks total
, and are events in a sample space with , and .
- and are mutually exclusive.
- and are independent.
- .
(a) Calculate . (2)
(b) Draw a Venn diagram showing the probability in every region. (4)
(c) Calculate the probability that exactly one of the events occurs. (2)
(d) Calculate the probability that none of the events occurs. (1)
Worked solution
Hidden - try the question first
FAQs
Is conditional probability in the IEB Grade 12 syllabus?
No. Conditional probability notation is not examined, though tree diagrams with dependent events are.
What is the difference between independent and mutually exclusive?
Mutually exclusive events cannot both happen. Independent events can both happen, and one does not affect the probability of the other.
How do I find an unknown in a Venn diagram?
Label the unknown region, express every other region in terms of it, and set the total equal to 1 or to the total number.