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Mastering
Probability

Build a rock-solid foundation in probability: from basic definitions to compound events, with strategies tailored for the GRE.

GRE Quantitative

What Is Probability?

Probability measures how likely an event is to occur. It is always a number between \(0\) and \(1\), inclusive. An event that cannot happen has probability \(0\); an event that is certain has probability \(1\).

For example, the probability of rolling a \(3\) on a fair six-sided die is \(\displaystyle P(3) = \frac{1}{6}\).

Sample Space and Events

Sample Space \(S\)
The set of all possible outcomes. For a coin flip: \(S = \{H, T\}\).
Event \(E\)
Any subset of the sample space. "Rolling an even number" on a die: \(E = \{2,4,6\}\).
Complement \(E'\)
Everything in \(S\) that is not in \(E\). Always: \(P(E') = 1 - P(E)\).

The Probability Scale

0 0.25 0.50 0.75 1 Impossible Unlikely Even Chance Likely Certain

Every probability value lives on this scale. On the GRE, if your answer falls outside \([0, 1]\), something went wrong.

The Addition Rule

A A∩B B Venn Diagram: A ∪ B

We subtract \(P(A \cap B)\) because the overlap is counted twice when we add \(P(A)\) and \(P(B)\).

Mutually Exclusive Events

Two events are mutually exclusive (disjoint) if they cannot both happen at the same time. Their intersection is empty: \(A \cap B = \emptyset\).

A B No overlap: P(A ∩ B) = 0

Independent vs Dependent

Independent
The occurrence of one event does not affect the other. \(P(A \cap B) = P(A) \cdot P(B)\).
Dependent
The occurrence of one event changes the probability of the other. \(P(A \cap B) = P(A) \cdot P(B \mid A)\).

The Multiplication Rule

Use multiplication when you need both events to occur ("A and B"). Use addition when you need at least one to occur ("A or B").

With vs Without Replacement

With Replacement Without Replacement
Independence Independent Dependent
Sample size Stays the same Decreases by 1 each draw
Formula \(P(A) \cdot P(B)\) \(P(A) \cdot P(B \mid A)\)
Example Rolling a die twice Drawing 2 cards from a deck

How to Solve Probability Problems

1
Identify the sample space. List all possible outcomes or compute \(|S|\).
2
Define the event. What specific outcome(s) does the question ask about?
3
Choose the right rule. "And" = multiply. "Or" = add (minus overlap). "Not" = complement.
4
Check independence. Does the first event change the sample space for the second?
5
Compute and simplify. Express the result as a fraction and verify it lies in \([0,1]\).

Example 1: Single Event

A jar contains 5 blue, 3 red, and 2 green marbles. If one marble is drawn at random, what is the probability it is red?

5 Blue 3 Red 2 Green

Example 2: Two Events (And)

A fair coin is flipped and a fair six-sided die is rolled. What is the probability of getting heads and rolling a number greater than 4?

Example 3: Without Replacement

A bag has 4 blue and 6 red balls. Two balls are drawn without replacement. What is the probability both are red?

The Complement Strategy

When a problem says "at least one," it is almost always faster to compute the complement: the probability that none occur, then subtract from \(1\).

Common Mistakes

✕ Adding for "And"
Using addition when both events must occur. "And" requires multiplication, not addition.
✕ Ignoring Dependence
Using \(P(A) \cdot P(B)\) when events are dependent. You must adjust the second probability after the first event.
✕ Forgetting Overlap
Adding \(P(A) + P(B)\) without subtracting \(P(A \cap B)\), which double-counts the intersection.

Probability Formula Cheat Sheet

Scenario Formula Key Word
Basic probability \(\frac{\text{favorable}}{\text{total}}\) —
A or B \(P(A)+P(B)-P(A \cap B)\) OR
A or B (mutually exclusive) \(P(A) + P(B)\) OR (no overlap)
A and B (independent) \(P(A) \cdot P(B)\) AND
A and B (dependent) \(P(A) \cdot P(B \mid A)\) AND (conditional)
Complement \(1 - P(E)\) NOT / at least one

Question 1 of 5

A bag contains 8 red and 12 blue marbles. One marble is drawn at random. What is \(P(\text{blue})\)?

Question 2 of 5

Two fair dice are rolled. What is the probability that both show a number less than 3?

Question 3 of 5

Events \(A\) and \(B\) are mutually exclusive with \(P(A) = 0.3\) and \(P(B) = 0.5\). What is \(P(A \cup B)\)?

Question 4 of 5

From a standard 52-card deck, two cards are drawn without replacement. What is the probability both are aces?

Question 5 of 5

A fair coin is flipped 4 times. What is the probability of getting at least one tail?