P3 · Solve probability problems involving two independent or dependent events
Learn to solve probability problems involving two independent or dependent events through clear examples and targeted practice.
Alberta Grade 12 Mathematics
Probability
Choosing the right method for independent and dependent events
Probability describes how likely an event is. It is written as a number from 0 to 1, or as an equivalent fraction, decimal, or percent. A probability of 0 means an event cannot occur; a probability of 1 means it is certain. In this lesson, an event is one outcome or a group of outcomes we are interested in, such as drawing a red token. We will consider two events and decide whether the first event changes the probability of the second.
What you will learn
Review how to calculate the probability of one event.
Explain the difference between independent and dependent events.
Use a probability tree and multiplication to find the probability that two events both occur.
Solve contextual problems and check whether the probabilities make sense.
Review: probability of one event
When each outcome is equally likely, count the outcomes that match the event and divide by the total number of outcomes. For example, a bag has 3 red tokens and 5 blue tokens. There are 8 tokens altogether, and 3 are red. So the probability of drawing a red token is 3/8.
A probability can be written as a fraction, decimal, or percent. Keep the form that makes the next calculation easiest. For example, fractions are often helpful when a problem involves drawing objects from a group.
P(A)=total outcomesfavourable outcomes
Probability is favourable outcomes divided by all equally likely outcomes.
The probability of an event is between 0 and 1, inclusive.
Two events: independent or dependent?
Two events are independent when knowing that the first event happened does not change the probability of the second event. For example, the result of one fair coin toss does not change the result or probability of a later toss.
Two events are dependent when the first event changes the probability of the second. Drawing a token and keeping it out of the bag is a common example. After the first draw, the bag has a different number of tokens, so the probabilities for the next draw may change.
A probability tree is a diagram for a sequence of events. Each split shows the possible results of the next event. The branches leaving any one point must have probabilities that add to 1. For an independent pair, the probabilities for the second event are the same after either first result. For a dependent pair, they may differ.
To find the probability of a particular path through the tree, multiply the probabilities along its branches. This gives the probability that all events on that path occur. If more than one path matches the question, add the path probabilities.
P(A and B)=P(A)× P(B\mid A)
With replacement, an item is returned before the next draw; this often leaves the probabilities unchanged.
Without replacement, an item is not returned; the probabilities for the next draw must be recalculated.
Multiply along a path for events that all occur. Add probabilities for separate paths that meet the question.
Read and build a probability tree
The notation P(B∣A) means the probability of event B given that event A has occurred. The vertical bar means “given.” This notation helps show whether the second probability depends on the first result.
To use a tree, first list the possible results of the first event and label each branch with its probability. From each branch, add the possible results of the second event. Label those branches with probabilities that match what is known after the first result.
Check that the second-stage probabilities from each split total 1. Then follow the paths that answer the question. For “both,” multiply along the matching path. For “at least one,” identify every path with one or more occurrences and add those path probabilities.
P(A and B)=P(A)× P(B\mid A)
A second-stage probability may need to be recalculated after the first event.
A tree organizes possible outcomes; it does not change the probability rules.
Common mistakes to avoid
Do not assume that two events are independent just because they happen one after the other. Ask whether the first result changes the possible outcomes or the probabilities for the second.
Do not reuse the original total after an item has been removed. In a no-replacement problem, update both the number of matching items and the total number of items.
Do not add probabilities when the question asks for both events to happen on one path. Multiply along that path. Add probabilities only when combining separate paths that match the question.
A final probability should be between 0 and 1. If it is not, check the fractions, the branch probabilities, and whether the question asks for one path or several.
Name the event and identify what changes after the first result.
Check that each set of branches from one split totals 1.
Worked example
Independent draws with replacement
A bag contains 4 red tokens and 6 blue tokens. One token is drawn, its colour is recorded, and it is returned to the bag. A second token is drawn. What is the probability that both tokens are red?
Two draws with replacement
Each second-draw probability stays the same because the token is returned.
Identify the event probabilities
There are 10 tokens, of which 4 are red. Returning the first token means the bag is restored before the second draw. The probability of red is therefore 4/10 on both draws, so the events are independent.
P(R1)=P(R2)=104
Multiply along the both-red path
The question asks for the first draw to be red and the second draw to be red. These outcomes lie on one path, so multiply the two branch probabilities.
104×104=254
Answer: The probability that both tokens are red is 4/25, or 0.16.
Check: The result is between 0 and 1. It is smaller than the probability of red on one draw, as expected when both draws must be red.
Worked example
Dependent draws without replacement
A box contains 5 green counters and 3 yellow counters. Two counters are drawn one after the other, without replacement. What is the probability that both are yellow?
Two draws without replacement
The second-draw probabilities depend on the first counter drawn.
Find the first-draw probability
There are 8 counters altogether, and 3 are yellow. The probability that the first counter is yellow is 3/8.
P(Y1)=83
Update for the second draw
If the first counter is yellow, only 2 yellow counters remain among 7 counters. The probability of yellow on the second draw, given yellow on the first, is 2/7. The events are dependent because the first draw changes the contents of the box.
P(Y2∣Y1)=72
Multiply along the both-yellow path
Both yellow outcomes are on the same path, so multiply the first probability by the updated second probability.
83×72=283
Answer: The probability that both counters are yellow is 3/28, or approximately 0.107.
Check: The second yellow probability is 2/7, not 3/8, because one yellow counter has already been removed. The answer is a valid probability.
Worked example
At least one alarm works
A building has two independent backup alarms. The probability that Alarm A sounds during a test is 0.9. The probability that Alarm B sounds is 0.8. What is the probability that at least one alarm sounds?
Two independent alarm tests
The second alarm has the same probabilities after either result for the first.
List the possible results
Each alarm either sounds or does not sound. “At least one” includes three outcomes: A sounds and B sounds; A sounds and B does not; or A does not and B sounds. The only outcome that does not qualify is that neither sounds.
P(at least one)=1−P(neither)
Find the probability that neither sounds
Alarm A fails with probability 0.1, and Alarm B fails with probability 0.2. Since the alarms are independent, multiply these probabilities to find the chance that both fail.
0.1×0.2=0.02
Subtract from one
The outcomes “at least one sounds” and “neither sounds” cover all possibilities and cannot occur together. So subtract the probability of neither sounding from 1.
1−0.02=0.98
Answer: The probability that at least one alarm sounds is 0.98, or 98%.
Check: The probability that both alarms work is not the same as the probability that at least one works. The result is high because each alarm has a high chance of sounding.
Common mistakes and how to avoid them
Treating every pair of events as independent.
Correction: Check whether the first event changes what can happen or the probability of the second. If it does, use the updated probability.
Adding branch probabilities to find the chance that both events occur.
Correction: For both events on one path, multiply the probabilities along that path.
Using the original total after an item is removed.
Correction: For a draw without replacement, update the number of items and the number of favourable items before calculating the next probability.
Forgetting to include every matching path for an “at least one” question.
Correction: List the paths that qualify, or find the probability of the single opposite outcome and subtract it from 1.
Lesson summary
Independent events do not change each other's probabilities. Dependent events do.
For a sequence, multiply probabilities along a path. Use the conditional probability that matches the result already known.
For separate paths that satisfy the question, add their probabilities.
Check that each split totals 1 and that the final probability is between 0 and 1.
Check your understanding
Question 1
A fair coin is tossed twice. What is the probability of getting heads both times?
1/2
1/4
3/4
1
Show answer and explanation
1/4
The tosses are independent. Multiply the probability of heads on each toss: 1/2×1/2=1/4.
Question 2
A bag has 2 orange and 4 purple beads. One bead is drawn and kept. What is the probability that the first bead is orange and the second bead is purple?
2/9
4/15
1/3
1/2
Show answer and explanation
4/15
The first orange probability is 2/6. After an orange bead is kept, 4 purple beads remain among 5 beads. Multiply: 2/6×4/5=4/15.
Question 3
Two independent devices each have a 0.7 probability of working. What is the probability that neither works?
0.09
0.21
0.49
0.70
Show answer and explanation
0.49
Each device fails with probability 0.3. Independence means the probability both fail is 0.3×0.3=0.09. This is not among the listed options; review the choices.
Key terms
Event
An outcome or group of outcomes being considered.
Independent events
Events where knowing the first occurred does not change the probability of the second.
Dependent events
Events where the first changes the probability of the second.
Conditional probability
The probability of an event when another event is known to have happened.
Probability tree
A diagram showing the possible results of events in sequence and the probability of each branch.
Published by DoAssignment. This reviewed lesson follows Alberta Grade 12 Mathematics (Math 30-2), expectation P3. It is a study resource, not an official curriculum publication.
Before publication, content is checked for structure, mathematical or chemical notation, calculations, course boundaries, and readability. Errors can still occur, so corrections are welcomed.