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Study Guide: How to Solve Probability Problems on the GRE/GMAT
Source: https://www.fatskills.com/gre/chapter/how-to-solve-probability-problems-on-the-gregmat

How to Solve Probability Problems on the GRE/GMAT

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~5 min read

How to Solve Probability Problems on the GRE/GMAT

Score Impact: Probability questions appear 4-6 times per GRE and 3-5 times per GMAT—mastering them can boost your Quant score by 5-7 points, moving you from the 60th to the 80th+ percentile.


WHAT THIS QUESTION TYPE IS ACTUALLY TESTING

The GRE/GMAT isn’t testing your ability to memorize probability formulas. It’s testing: ✅ Logical structuring – Can you break a wordy problem into clear cases? ✅ Attention to conditions – Do you notice "with replacement," "without replacement," or "independent events"? ✅ Elimination discipline – Can you spot and reject answer choices that violate the problem’s rules?


ANATOMY OF THE QUESTION

1. The Stem

  • Sets up the scenario (e.g., "A bag contains 5 red marbles and 3 blue marbles").
  • Often includes hidden conditions (e.g., "two marbles are drawn without replacement").

2. The Conditions

  • Key phrases to underline:
  • "With replacement" → Events are independent.
  • "Without replacement" → Events are dependent.
  • "At least one" → Use 1 – P(none) shortcut.
  • "Both" or "Neither" → Direct multiplication (if independent).

3. The Answer Choices

  • Correct answer: Matches the calculated probability.
  • Distractors: Often include:
  • Partial probabilities (e.g., P(A) instead of P(A and B)).
  • Reversed conditions (e.g., "with replacement" vs. "without").
  • Overcounting (e.g., double-counting outcomes).

Representative Example Question

A box contains 4 red balls, 3 blue balls, and 2 green balls. If two balls are drawn without replacement, what is the probability that both are red?

Answer Choices: A) 1/6 B) 2/9 C) 1/3 D) 4/9 E) 1/2


THE DECISION FRAMEWORK (Step-by-Step)

Step 1: Identify the Total Possible Outcomes

  • With replacement? Total outcomes = (Total items) × (Total items).
  • Without replacement? Total outcomes = (Total items) × (Total items – 1).
  • Example: 9 balls total → 9 × 8 = 72 possible ordered pairs.

Step 2: Identify the Desired Outcomes

  • Independent events? Multiply probabilities (e.g., P(Red) × P(Red)).
  • Dependent events? Adjust for removal (e.g., P(Red first) × P(Red second | first was red)).
  • Example: 4 red balls → 4 × 3 = 12 desired ordered pairs.

Step 3: Calculate Probability

  • Probability = Desired / Total
  • Example: 12 / 72 = 1/6 → But wait! This is ordered. If the question doesn’t specify order, divide by 2! (since RR is the same as RR in unordered draws).
  • Unordered probability: (4/9) × (3/8) = 12/72 = 1/6.

Step 4: Match to Answer Choices

  • Eliminate impossible answers (e.g., if P > 1, it’s wrong).
  • Check for common traps (e.g., forgetting "without replacement").

Worked Examples

Example 1 – Straightforward (Without Replacement)

A bag has 5 red and 3 blue marbles. Two marbles are drawn without replacement. What is the probability both are red?

Step 1: Total marbles = 8 → Total outcomes = 8 × 7 = 56. Step 2: Desired outcomes = 5 × 4 = 20. Step 3: Probability = 20/56 = 5/14. Step 4: Closest answer? 5/14 (not listed—recheck!). Correction: Unordered probability = (5/8) × (4/7) = 20/56 = 5/14.

Answer: Not listed → Recalculate! Realization: The question expects ordered pairs (5/8 × 4/7 = 5/14). If no match, re-express: 5/14 ≈ 0.357 → Closest is B) 2/7 ≈ 0.286 (wrong) or C) 5/14 (if listed). Key Takeaway: Always check if the question expects ordered vs. unordered draws.


Example 2 – Common Trap (At Least One)

A fair coin is flipped 3 times. What is the probability of getting at least one head?

Step 1: Total outcomes = 2³ = 8. Step 2: Desired outcomes = All except TTT → 7. Step 3: Probability = 7/8. Trap: Calculating P(H) + P(HH) + P(HHH) = 1/2 + 1/4 + 1/8 = 7/8 (correct but slow). Shortcut: P(at least one H) = 1 – P(no H) = 1 – (1/2)³ = 7/8.

Answer: 7/8 (not always listed—check for equivalent forms).


Example 3 – Hard Variant (Conditional Probability)

A box has 3 defective and 7 working batteries. If two are picked without replacement, what is the probability that at least one is defective?

Step 1: Total outcomes = 10 × 9 = 90. Step 2: P(at least one defective) = 1 – P(both working). P(both working) = (7/10) × (6/9) = 42/90 = 7/15. Step 3: P(at least one defective) = 1 – 7/15 = 8/15.

Answer: 8/15 (check for decimal equivalents).


WRONG ANSWER PATTERNS

Wrong Answer Type Why It Looks Right Why It’s Wrong
Partial Probability Matches P(first event) only. Ignores the second event (e.g., P(Red) instead of P(Red and Red)).
Reversed Conditions Assumes "with replacement" when it’s "without." Changes the denominator (e.g., 9 × 9 instead of 9 × 8).
Overcounting Counts ordered pairs when unordered is needed. Doubles the probability (e.g., RR and RR counted separately).
1 – P(Desired) Uses 1 – P(both defective) for "at least one." Reverses the logic (should be 1 – P(neither)).

Common Mistakes

Mistake Why It Happens Correct Approach
Ignoring "without replacement" Assumes independence. Adjust the second probability (e.g., 4/9 → 3/8).
Counting ordered pairs as unordered Forgets to divide by 2!. If order doesn’t matter, use combinations (e.g., C(4,2)/C(9,2)).
Adding instead of multiplying Confuses "or" with "and." P(A and B) = P(A) × P(B) (if independent).
Misapplying "at least one" Adds all cases manually. Use 1 – P(none) for speed.
Overcomplicating simple cases Uses combinations for single draws. For one draw, just use favorable/total.

TIME STRATEGY

  • Target time: 1.5–2 minutes per question.
  • When to skip: If you’re stuck after 30 seconds of setup, flag and return.
  • Minimum work: Write down total outcomes and desired outcomes before calculating.

BACKSOLVING AND SHORTCUTS

  1. 1 – P(none) for "at least one" → Saves 30+ seconds.
  2. Plug in numbers → If the question is abstract (e.g., "a bag has x red and y blue"), pick small numbers (e.g., 2 red, 2 blue) to test logic.
  3. Eliminate first → If two answers are >1, they’re wrong. If one answer is 1/2 and another is 1/4, the higher one is often correct for "at least one."

1-Minute Recap

"Here’s the deal: Probability questions on the GRE/GMAT are not about memorizing formulas—they’re about structure. Every time, ask: 1. Is this with or without replacement? (Adjust the second probability!) 2. Am I counting ordered or unordered pairs? (Divide by 2! if needed.) 3. Is this ‘at least one’? (Use 1 – P(none) for speed.) 4. Can I eliminate impossible answers? (Probabilities >1 are always wrong.)

Most mistakes happen when you rush Step 1. Slow down, write the total and desired outcomes, and match to the answer choices last. If you’re stuck, plug in small numbers—it works every time. Now go crush it."


Final Tip: After solving, always ask: "Does this probability make sense?" (e.g., P > 1 is impossible, P = 0.5 for a fair coin is reasonable). This catches 90% of errors.



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