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    Hard GRE Probability Word Problems Practice Questions

    July 8, 202612 min read1 views
    Hard GRE Probability Word Problems Practice Questions

    Hard GRE Probability Word Problems Practice Questions

    Probability accounts for approximately 10% to 15% of the Quantitative Reasoning section on the GRE, making it a pivotal area for high scorers. While basic probability involves simple ratios, Hard GRE Probability Word Problems demand a sophisticated understanding of combinatorics, conditional constraints, and the complement rule. Successfully navigating these challenges requires more than just memorizing formulas; it requires the ability to translate complex linguistic scenarios into precise mathematical models. By mastering these advanced concepts, students can significantly improve their performance on the GRE Prep journey.

    Concept Explanation

    Probability is the mathematical measure of the likelihood that a specific event will occur, expressed as a value between 0 and 1. At the advanced level, GRE problems often involve dependent events, where the outcome of one trial affects the next, or mutually exclusive versus non-mutually exclusive scenarios. Key formulas include the Multiplication Rule for independent events, P ( A   and  B ) = P ( A )   Γ— P ( B ) P(A \ \text{ and } B) = P(A) \ \times P(B) , and the Addition Rule for non-mutually exclusive events, P ( A   or  B ) = P ( A ) + P ( B ) βˆ’ P ( A   and  B ) P(A \ \text{ or } B) = P(A) + P(B) - P(A \ \text{ and } B) . Additionally, many hard problems are more easily solved using the Complement Rule, where you calculate the probability of the unwanted outcome and subtract it from 1: P ( A ) = 1 βˆ’ P (  not  A ) P(A) = 1 - P(\ \text{not } A) . According to Khan Academy, understanding the distinction between permutations (where order matters) and combinations (where order does not matter) is essential for calculating the total number of outcomes in complex word problems. For students looking for more targeted practice, utilizing an AI Question Generator can provide a steady stream of these high-difficulty scenarios.

    Solved Examples

    Example 1: The Complement Rule in Action
    A bag contains 5 red marbles, 4 blue marbles, and 3 green marbles. If 3 marbles are drawn at random without replacement, what is the probability that at least one marble is green?

    1. Identify the total number of marbles: 5 + 4 + 3 = 12 5 + 4 + 3 = 12 .
    2. Calculate the total ways to choose 3 marbles from 12:   ( 12 3 ) =   12   Γ— 11   Γ— 10 3   Γ— 2   Γ— 1 = 220 \ \binom{12}{3} = \ \frac{12 \ \times 11 \ \times 10}{3 \ \times 2 \ \times 1} = 220 .
    3. Use the complement rule: "At least one green" is the opposite of "Zero green marbles."
    4. Calculate the ways to choose 3 marbles from the non-green ones (9 marbles):   ( 9 3 ) =   9   Γ— 8   Γ— 7 3   Γ— 2   Γ— 1 = 84 \ \binom{9}{3} = \ \frac{9 \ \times 8 \ \times 7}{3 \ \times 2 \ \times 1} = 84 .
    5. Find the probability of zero green marbles:   84 220 =   21 55 \ \frac{84}{220} = \ \frac{21}{55} .
    6. Subtract from 1: 1 βˆ’   21 55 =   34 55 1 - \ \frac{21}{55} = \ \frac{34}{55} .

    Example 2: Conditional Probability and Sequential Events
    In a local election, 60% of voters are registered as Democrats and 40% as Republicans. If a Democrat is chosen, there is a 70% chance they support Proposition A. If a Republican is chosen, there is a 30% chance they support Proposition A. If a randomly selected voter supports Proposition A, what is the probability they are a Democrat?

    1. Calculate the total probability of supporting Proposition A using the Law of Total Probability: P ( A ) = P ( D ) P ( A ∣ D ) + P ( R ) P ( A ∣ R ) P(A) = P(D)P(A|D) + P(R)P(A|R) .
    2. Substitute the values: P ( A ) = ( 0.60   Γ— 0.70 ) + ( 0.40   Γ— 0.30 ) = 0.42 + 0.12 = 0.54 P(A) = (0.60 \ \times 0.70) + (0.40 \ \times 0.30) = 0.42 + 0.12 = 0.54 .
    3. Use Bayes' Theorem: P ( D ∣ A ) =   P ( D   and  A ) P ( A ) P(D|A) = \ \frac{P(D \ \text{ and } A)}{P(A)} .
    4. Calculate the numerator: 0.60   Γ— 0.70 = 0.42 0.60 \ \times 0.70 = 0.42 .
    5. Final calculation:   0.42 0.54 =   42 54 =   7 9 \ \frac{0.42}{0.54} = \ \frac{42}{54} = \ \frac{7}{9} .

    Example 3: Geometric Probability
    A square target has a side length of 10 inches. Inside the square, there is a circle with a radius of 3 inches. If a dart is thrown and hits the target at a random point, what is the probability it lands inside the circle?

    1. Calculate the area of the square (the total sample space): 10   Γ— 10 = 100   sq inches 10 \ \times 10 = 100 \ \text{ sq inches} .
    2. Calculate the area of the circle (the successful outcome): Ο€ r 2 = Ο€ ( 3 ) 2 = 9 Ο€ \pi r^2 = \pi (3)^2 = 9\pi .
    3. Set up the probability ratio:    Area of Circle  Area of Square =   9 Ο€ 100 \ \frac{\ \text{Area of Circle}}{\ \text{Area of Square}} = \ \frac{9\pi}{100} .
    4. Approximate the value: Since Ο€ β‰ˆ 3.14 \pi \approx 3.14 , the probability is roughly 0.2826 0.2826 or 28.3%.

    Practice Questions

    1. A committee of 4 people is to be chosen from a group of 6 men and 4 women. What is the probability that the committee will consist of exactly 2 men and 2 women?

    2. Two fair six-sided dice are rolled. What is the probability that the sum of the numbers shown is a prime number?

    3. A box contains 10 light bulbs, of which 3 are defective. If a sample of 2 bulbs is chosen at random without replacement, what is the probability that both bulbs are defective?

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    4. In a certain population, the probability of having disease X is 0.01. A test for the disease is 99% accurate for those who have it (true positive) and 95% accurate for those who do not (true negative). If a person tests positive, what is the probability they actually have the disease?

    5. An urn contains 4 red balls and 6 black balls. Three balls are drawn one by one without replacement. What is the probability that the colors of the balls drawn follow the pattern Red, Black, Red?

    6. If a three-digit integer is chosen at random from all integers between 100 and 999 inclusive, what is the probability that the integer is a palindrome (reads the same forwards and backwards)?

    7. A fair coin is flipped 6 times. What is the probability of obtaining more heads than tails?

    8. Seven people, including Alice and Bob, are to be seated in a row of seven chairs. What is the probability that Alice and Bob will be seated next to each other?

    9. A bag contains 8 white chips and 7 blue chips. If 4 chips are selected at random, what is the probability that at least one chip is blue?

    10. Two cards are drawn from a standard 52-card deck without replacement. What is the probability that both cards are Aces?

    Answers & Explanations

    1. Answer: 3/7
    Total ways to choose 4 from 10:   ( 10 4 ) = 210 \ \binom{10}{4} = 210 . Ways to choose 2 men from 6:   ( 6 2 ) = 15 \ \binom{6}{2} = 15 . Ways to choose 2 women from 4:   ( 4 2 ) = 6 \ \binom{4}{2} = 6 . Successful outcomes: 15   Γ— 6 = 90 15 \ \times 6 = 90 . Probability: 90 / 210 = 9 / 21 = 3 / 7 90/210 = 9/21 = 3/7 . This is a standard GRE practice questions with answers style problem involving combinations.

    2. Answer: 5/12
    Total outcomes: 6   Γ— 6 = 36 6 \ \times 6 = 36 . Prime sums possible: 2, 3, 5, 7, 11. Sum of 2: (1,1) [1 way]. Sum of 3: (1,2), (2,1) [2 ways]. Sum of 5: (1,4), (4,1), (2,3), (3,2) [4 ways]. Sum of 7: (1,6), (6,1), (2,5), (5,2), (3,4), (4,3) [6 ways]. Sum of 11: (5,6), (6,5) [2 ways]. Total ways: 1 + 2 + 4 + 6 + 2 = 15 1+2+4+6+2 = 15 . Probability: 15 / 36 = 5 / 12 15/36 = 5/12 .

    3. Answer: 1/15
    Probability the first is defective: 3 / 10 3/10 . Probability the second is defective: 2 / 9 2/9 . Multiply: ( 3 / 10 )   Γ— ( 2 / 9 ) = 6 / 90 = 1 / 15 (3/10) \ \times (2/9) = 6/90 = 1/15 .

    4. Answer: 1/6 (approx. 0.167)
    Use Bayes' Theorem. P ( D ∣ + ) =   P ( D ) P ( + ∣ D ) P ( D ) P ( + ∣ D ) + P ( N D ) P ( + ∣ N D ) P(D|+) = \ \frac{P(D)P(+|D)}{P(D)P(+|D) + P(ND)P(+|ND)} . P ( D ) = 0.01 P(D) = 0.01 , P ( + ∣ D ) = 0.99 P(+|D) = 0.99 , P ( N D ) = 0.99 P(ND) = 0.99 , P ( + ∣ N D ) = 0.05 P(+|ND) = 0.05 . Calculation:   0.0099 0.0099 + 0.0495 =   0.0099 0.0594 = 1 / 6 \ \frac{0.0099}{0.0099 + 0.0495} = \ \frac{0.0099}{0.0594} = 1/6 .

    5. Answer: 1/10
    Probability of Red first: 4 / 10 4/10 . Black second: 6 / 9 6/9 . Red third: 3 / 8 3/8 . Multiply: ( 4 / 10 )   Γ— ( 6 / 9 )   Γ— ( 3 / 8 ) = 72 / 720 = 1 / 10 (4/10) \ \times (6/9) \ \times (3/8) = 72/720 = 1/10 .

    6. Answer: 1/10
    Total 3-digit integers: 999 βˆ’ 100 + 1 = 900 999 - 100 + 1 = 900 . For a palindrome A B A ABA : 'A' can be 1-9 (9 options). 'B' can be 0-9 (10 options). The last digit must match 'A' (1 option). Total palindromes: 9   Γ— 10   Γ— 1 = 90 9 \ \times 10 \ \times 1 = 90 . Probability: 90 / 900 = 1 / 10 90/900 = 1/10 .

    7. Answer: 11/32
    Total outcomes: 2 6 = 64 2^6 = 64 . "More heads than tails" means 4, 5, or 6 heads.   ( 6 4 ) = 15 \ \binom{6}{4} = 15 ,   ( 6 5 ) = 6 \ \binom{6}{5} = 6 ,   ( 6 6 ) = 1 \ \binom{6}{6} = 1 . Total successful: 15 + 6 + 1 = 22 15+6+1 = 22 . Probability: 22 / 64 = 11 / 32 22/64 = 11/32 .

    8. Answer: 2/7
    Total arrangements: 7 ! 7! . Treat Alice and Bob as one unit: 6 ! 6! ways to arrange the units. Inside the unit, they can swap: 2 ! 2! ways. Total successful: 6 !   Γ— 2 6! \ \times 2 . Probability: ( 6 !   Γ— 2 ) / 7 ! = 2 / 7 (6! \ \times 2) / 7! = 2/7 .

    9. Answer: 13/15
    Complement rule: 1 βˆ’ P (  all white ) 1 - P(\ \text{all white}) . Total ways:   ( 15 4 ) = 1365 \ \binom{15}{4} = 1365 . Ways to choose 4 white:   ( 8 4 ) = 70 \ \binom{8}{4} = 70 . P (  all white ) = 70 / 1365 = 14 / 273 = 2 / 39 P(\ \text{all white}) = 70/1365 = 14/273 = 2/39 . Probability: 1 βˆ’ 2 / 39 1 - 2/39 is incorrect; recalculating:   ( 15 4 ) = 1365 \ \binom{15}{4} = 1365 .   ( 8 4 ) = 70 \ \binom{8}{4} = 70 . 70 / 1365 = 10 / 195 = 2 / 39 70/1365 = 10/195 = 2/39 . So 1 βˆ’ 2 / 39 = 37 / 39 1 - 2/39 = 37/39 . (Note: Harder problems often require re-checking calculations using GRE practice questions with explanations).

    10. Answer: 1/221
    First card is an Ace: 4 / 52 = 1 / 13 4/52 = 1/13 . Second card is an Ace: 3 / 51 = 1 / 17 3/51 = 1/17 . Multiply: ( 1 / 13 )   Γ— ( 1 / 17 ) = 1 / 221 (1/13) \ \times (1/17) = 1/221 .

    Interactive quizQuestion 1 of 5

    1. If the probability of event A occurring is 0.4 and the probability of event B occurring is 0.5, and they are independent, what is the probability that neither A nor B occurs?

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    Frequently Asked Questions

    What is the difference between independent and dependent events in GRE probability?

    Independent events are those where the outcome of the first event does not affect the likelihood of the second, such as flipping a coin twice. Dependent events occur when the first outcome changes the available options for the second, typically seen in "without replacement" scenarios.

    When should I use the complement rule on the GRE?

    The complement rule is most effective when a question asks for the probability of "at least one" occurrence. It is often much faster to calculate the probability of the event never happening and subtracting that from 1 than to sum the probabilities of all successful outcomes.

    How do permutations differ from combinations in word problems?

    Permutations are used when the order of selection matters, such as assigning specific roles or seating arrangements. Combinations are used when the group composition is all that matters, such as selecting a committee or a hand of cards.

    What is the Law of Total Probability?

    The Law of Total Probability is a fundamental rule relating marginal probabilities to conditional probabilities. It allows you to find the overall probability of an event by summing its likelihood across several distinct, mutually exclusive scenarios.

    Are probability questions on the GRE usually combined with other topics?

    Yes, the GRE often blends probability with data interpretation, set theory, or geometry. For instance, you might be asked to find the probability of a value falling within a certain range on a normal distribution curve or within a specific geometric area.

    How can I improve my speed on hard probability word problems?

    Improving speed requires recognizing patterns, such as common factorials and combination values (e.g., 5C2 = 10). Practicing with an AI Exam Simulator can help you build the mental stamina and recognition skills needed for the actual test environment.

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