math
I. What is Probability?
Definition: Probability measures how likely something is to happen.
Formula:
P(\text{Event}) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}
Examples:
Flipping a coin → P(Heads) = 1/2
Rolling a die → P(rolling a 3) = 1/6
II. Complement Rule
Definition: The complement is the probability that an event does not happen.
Formula:
P(A{\prime}) = 1 - P(A)
Examples:
P(rolling a 1 on a die) = 1/6 → P(not rolling a 1) = 1 - 1/6 = 5/6
P(it rains) = 0.3 → P(no rain) = 1 - 0.3 = 0.7
III. Addition Rule (For “OR” Statements)
General Rule (when events might overlap):
P(A \cup B) = P(A) + P(B) - P(A \cap B)
If events are mutually exclusive (can’t both happen):
P(A \cup B) = P(A) + P(B)
Keywords: “either,” “or,” “at least one”
Example:
P(Popsicle) = 0.27, P(Chocolate) = 0.35, P(Both) = 0.15
P(Popsicle \cup Chocolate) = 0.27 + 0.35 - 0.15 = 0.47
IV. Multiplication Rule (For “AND” Statements)
For Independent Events:
P(A \cap B) = P(A) \times P(B)
For Dependent Events (Conditional):
P(A \cap B) = P(A | B) \times P(B)
Keywords: “and,” “both,” “at the same time”
Example (independent):
P(rolling a 3) = 1/6, P(flipping heads) = 1/2
P(3 \text{ and } Heads) = 1/6 \times 1/2 = 1/12
V. Conditional Probability
Definition: The probability that event A happens given that B already happened.
Formula:
P(A | B) = \frac{P(A \cap B)}{P(B)}
Use when the problem gives a “given that” or “if B happens” clue.
Example:
P(Biology) = 0.70, P(Algebra | Biology) = 0.40
P(Algebra \cap Biology) = 0.40 \times 0.70 = 0.28
VI. Independent vs. Mutually Exclusive
Independent:
Events don’t affect each other
P(A | B) = P(A), and P(B | A) = P(B)
Multiply to find “and”
Mutually Exclusive:
Events cannot happen together
P(A and B) = 0
Use simple addition for “or”
How to Tell the Difference:
If one event happening changes the chances of the other → Not independent
If both can’t happen at the same time → Mutually exclusive
VII. Venn Diagrams & Set Notation
Symbols to Know:
∪ = Union = OR
∩ = Intersection = AND
′ = Complement = NOT
Formulas:
P(A \cup B) = P(A) + P(B) - P(A \cap B)
P(A{\prime}) = 1 - P(A)
How to Use Venn Diagrams:
Start with the overlap (A ∩ B)
Fill in the rest of each circle
Use the outside area for the complement
VIII. Word Problem Templates
Example 1: Classes
Sarah takes Algebra (P = 0.30), Biology (P = 0.70), and both (given: P(Algebra | Biology) = 0.40)
P(Both) = 0.40 × 0.70 = 0.28
P(Algebra or Biology) = 0.30 + 0.70 – 0.28 = 0.72
Not independent (0.30 ≠ 0.40), not mutually exclusive (P(Both) ≠ 0)
Example 2: Ridgemont High
150 students: 70 have dogs, 30 have cats, 25 have both
P(Dog ∩ Cat) = 25/150 = 1/6
P(Dog ∪ Cat) = (70 + 30 – 25)/150 = 75/150 = 1/2
P(Neither) = 1 – 75/150 = 1/2
Example 3: Complements
P(rain 3 days) = ?
Complement = P(not raining 3 days) = 1 – P(rain 3 days)
IX. Key Phrases and What They Mean
Phrase | Means… | What to Use |
A or B | A ∪ B (Union) | Addition Rule |
A and B | A ∩ B (Intersection) | Multiplication Rule |
A given B | Conditional (A | B) |
A and B are independent | One doesn’t affect the other | P(A and B) = P(A) × P(B) |
A and B are mutually exclusive | Can’t happen at the same time | P(A and B) = 0 |
Not A | A′ (Complement) | P(A′) = 1 – P(A) |
X. Final Tips
Draw diagrams when the problem mentions percentages or sets
Label your work clearly
Know your formulas but look for keywords: or, and, given, not
Check if it’s asking for BOTH, EITHER, or NOT
Bring your index card and take your time!