Probability & Conditional Probability
Probability & Conditional Probability
Read the representation first. Identify the correct sample space. Then calculate the probability. On the SAT, the hardest part is often not the arithmetic—it is deciding what the denominator should be.
What this lesson covers
- Basic and complementary probability
- Relative frequency
- One-way and two-way tables
- Conditional probability
- Tree diagrams and area models
- Independent and dependent events
- Multi-step probability
- Finding unknown frequencies from probabilities
- SAT wording traps
The SAT habit
Before calculating, ask: “What outcomes are possible after I apply the condition?”
For conditional probability, the condition usually changes the denominator.
1. Basic Probability
When all outcomes are equally likely, probability is the fraction of outcomes that satisfy the event.
2. Complementary Probability
The complement of an event is the event that it does not occur.
3. Relative Frequency from Data
When probability is estimated from observed data, use relative frequency.
| Preferred study time | Students |
|---|---|
| Morning | 18 |
| Afternoon | 27 |
| Evening | 15 |
| Total | 60 |
The observed probability that a randomly selected student prefers afternoon study is \(27/60=0.45\).
4. Reading Probability from a Two-Way Table
A two-way table separates observations by two categorical variables. First identify the event, then determine which total belongs in the denominator.
| Uses app | Does not use app | Total | |
|---|---|---|---|
| Grade 11 | 32 | 18 | 50 |
| Grade 12 | 24 | 26 | 50 |
| Total | 56 | 44 | 100 |
The probability that a randomly selected student uses the app is \(56/100=0.56\).
5. Conditional Probability: The Denominator Changes
\(P(A\mid B)\) means the probability of \(A\) given that \(B\) has already occurred.
| Completed | Did not complete | Total | |
|---|---|---|---|
| Morning group | 21 | 9 | 30 |
| Afternoon group | 16 | 14 | 30 |
| Total | 37 | 23 | 60 |
If a student is known to be in the morning group, the relevant sample space contains only 30 students:
6. “Given That” Language
Conditional probability may be written without the notation \(P(A\mid B)\).
Given that
“A student is known to be a senior.”
Among
“Among students who chose option A…”
If known
“If the selected student is in group B…”
7. Addition Rule: “A or B”
For events that cannot happen together, add their probabilities.
More generally, if two events can overlap:
8. Multiplication Rule: “A and B”
For two events occurring in sequence:
If the events are independent, \(P(B\mid A)=P(B)\), so:
9. Independent vs. Dependent Events
Independent
Knowing that one event occurred does not change the probability of the other.
Dependent
The first event changes the probabilities for the second event.
Drawing an item and not replacing it is a common reason successive selections are dependent.
10. Tree Diagrams: Follow the Branches
A tree diagram separates a multi-step experiment into branches. Multiply along a path to find the probability of that path.
Multiply along a path. If several paths produce the desired outcome, add their path probabilities.
11. Area Models
An area model can represent a probability as part of a whole region. It is useful when the problem provides percentages or proportions.
The regions represent complementary probabilities: \(P(A)=0.60\) and \(P(\text{not }A)=0.40\).
12. Finding an Unknown Number from Probabilities
Some SAT probability questions give the total number of objects and the probabilities of several categories, then ask for the number in the category that remains.
If the outcomes are mutually exclusive and exhaustive, first find the missing probability:
Then convert that probability into a count by multiplying by the total:
Method 1 • Find the missing probability
Method 2 • Find the known counts
13. A Reliable SAT Probability Strategy
Observe → Identify → Define the sample space → Calculate → Verify
1. Observe
Look at the table, diagram, graph, or description first.
2. Identify
Determine exactly what event the question asks about.
3. Sample space
Ask whether a condition restricts the possible outcomes.
4. Calculate
Use the appropriate count, ratio, product, or complement.
5. Verify
Check that the probability is between 0 and 1.
6. Re-read
Make sure the answer matches the wording of the condition.
Advanced Practice
Original SATMath800 questions. The visuals are part of the problem: read the representation before calculating.
Observed Probability
| Preferred study location | Students |
|---|---|
| Library | 24 |
| Home | 36 |
| School | 20 |
| Other | 10 |
One student is selected at random. What is the probability that the student prefers studying at home?
Show solution
There are 36 home-preferring students out of 90: \(36/90=0.40\). Answer: C.
Not the Event
A certain event has probability \(0.18\). What is the probability that the event does not occur?
Show solution
Use the complement: \(1-0.18=0.82\). Answer: D.
Overall Probability
| Completed | Did not complete | Total | |
|---|---|---|---|
| Group A | 28 | 12 | 40 |
| Group B | 24 | 16 | 40 |
| Total | 52 | 28 | 80 |
A student is selected at random. What is the probability that the student completed the program?
Show solution
No condition is imposed, so use the overall total: \(52/80=0.65\). Answer: D.
Find the Correct Denominator
| Passed | Did not pass | Total | |
|---|---|---|---|
| Class X | 27 | 13 | 40 |
| Class Y | 18 | 22 | 40 |
| Total | 45 | 35 | 80 |
A student is known to be in Class X. What is the probability that the student passed?
Show solution
The condition restricts the sample space to Class X: \(27/40\). Answer: C.
Compare Rates
| Uses feature | Does not use feature | Total | |
|---|---|---|---|
| First-year | 42 | 18 | 60 |
| Second-year | 35 | 15 | 50 |
For which group is the probability of using the feature greater?
Show solution
Compare rates: \(42/60=0.70\) and \(35/50=0.70\). Answer: C.
Two Green Tokens
A container has 5 green tokens and 3 yellow tokens. One token is selected and is not replaced. A second token is then selected. What is the probability that both selected tokens are green?
Show solution
After a green token is selected, 4 green tokens remain among 7: \(\frac58*\frac47=\frac5{14}\). Answer: B.
Follow the Path
What is the probability of event A occurring and event B occurring?
Show solution
Follow the A then B branch: \(0.6*0.5=0.30\). Answer: B.
Recover the Missing Count
| Selected | Not selected | Total | |
|---|---|---|---|
| Group A | ? | 24 | 60 |
| Group B | 18 | 22 | 40 |
| Total | 100 |
The probability that a randomly selected member of Group A was selected is \(0.60\). How many members of Group A were selected?
Show solution
Let the missing count be \(x\). Then \(x/60=0.60\), so \(x=36\). Answer: C.
Overlap Matters
In a group of 100 students, 58 participate in activity A, 37 participate in activity B, and 19 participate in both activities. What is the probability that a randomly selected student participates in at least one activity?
Show solution
Use inclusion-exclusion: \(58+37-19=76\). Thus the probability is \(0.76\). Answer: B.
Condition First, Calculate Second
| Option P | Option Q | Total | |
|---|---|---|---|
| Grade 10 | 18 | 12 | 30 |
| Grade 11 | 24 | 16 | 40 |
| Grade 12 | 30 | 20 | 50 |
A student is selected from the students who chose Option P. What is the probability that the student is in Grade 12?
Show solution
The condition restricts the sample space to the P column: \(18+24+30=72\). Therefore \(30/72=5/12\). Answer: B.
Two Different Paths
What is the probability of a success, regardless of which route is taken?
Show solution
Success can occur along two paths: \((0.4)(0.7)=0.28\) and \((0.6)(0.5)=0.30\). Add them: \(0.58\). Answer: D.
Conditional Probability from Relative Frequencies
| Uses method A | Uses method B | Total | |
|---|---|---|---|
| Under 30 min | 28 | 12 | 40 |
| 30–60 min | 24 | 36 | 60 |
| Over 60 min | 18 | 42 | 60 |
| Total | 70 | 90 | 160 |
Among the people who use method B, what is the probability that a randomly selected person spends more than 60 minutes?
Show solution
The condition restricts the sample space to the 90 people who use method B. Of those, 42 spend more than 60 minutes: \(42/90=7/15\). Answer: B.
Find the Third Category
At a community center, there are 240 members. Each member participates in exactly one of three programs: A, B, or C. If a member is selected at random, the probability of selecting a member in Program A is 0.35, and the probability of selecting a member in Program B is 0.25. How many members participate in Program C?
Show solution
The three programs account for all members, so the probability for Program C is:
Therefore, the number of members in Program C is:
Answer: C.
Recover the Missing Group
A library has 480 registered members. Each member is classified as a student, faculty member, or community member. The probability that a randomly selected member is a student is 0.45, and the probability that the member is a faculty member is 0.30. How many members are community members?
Show solution
First find the probability of being a community member:
Then convert the probability to a number of members:
Answer: B.
Use the Probabilities to Complete the Distribution
| Category | Probability | Number |
|---|---|---|
| A | 0.28 | — |
| B | 0.17 | — |
| C | 0.25 | — |
| D | ? | 126 |
| Total | 1.00 | 420 |
The table represents all 420 participants in a program. The categories are mutually exclusive and include every participant. Which value is the probability for Category D?
Show solution
Add the known probabilities:
The remaining probability is:
Verify with the given count: \(0.30\times420=126\), which matches the table.
Answer: C.
SAT Probability Checklist
Before calculating
- What is the event?
- What is the sample space?
- Is there a condition?
- Are the events independent?
After calculating
- Is the probability between 0 and 1?
- Did I use the correct denominator?
- Did I count an overlap twice?
- Does the answer match the wording?
New SAT Pattern Added
Questions 13–15 add a distinct probability skill: using given probabilities and a total count to determine an unknown frequency, including the complementary-probability method and a table-based verification.

One thought on “Probability & Conditional Probability”