Back to Blog
    Exams, Assessments & Practice Tools

    Easy GRE Probability Set 1 Practice Questions

    July 8, 20269 min read21 views
    Easy GRE Probability Set 1 Practice Questions

    Probability measures the likelihood of a specific event occurring, expressed as a ratio between 0 and 1. While many students find the quantitative section of the Graduate Record Examination daunting, mastering Easy GRE Probability Set 1 Practice Questions is a foundational step toward a high score. Understanding the basic mechanics of how outcomes are counted allows you to tackle more complex permutations and combinations later. This guide focuses on the fundamental rules of probability, ensuring you can quickly identify favorable outcomes versus the total sample space during the actual exam.

    Concept Explanation

    Probability is the numerical representation of the chance that a specific event will happen, calculated by dividing the number of successful outcomes by the total number of possible outcomes. This relationship is often expressed by the formula P ( E ) = Number of favorable outcomes Total number of possible outcomes P(E) = \frac{ \text{Number of favorable outcomes}}{ \text{Total number of possible outcomes}} . According to the principles of probability theory, the value of any probability must fall within the range 0 ≀ P ( E ) ≀ 1 0 \leq P(E) \leq 1 . A probability of 0 means the event is impossible, while a probability of 1 means the event is certain. For the GRE, you should also be familiar with the concept of the complement: the probability that an event will not occur is 1 βˆ’ P ( E ) 1 - P(E) .

    When preparing for the quantitative section, utilizing GRE Prep resources helps in identifying whether events are independent or mutually exclusive. Independent events are those where the outcome of one does not affect the other, such as flipping a coin twice. In such cases, the probability of both events occurring is the product of their individual probabilities: P ( A  and  B ) = P ( A ) Γ— P ( B ) P(A \text{ and } B) = P(A) \times P(B) . Conversely, mutually exclusive events cannot happen at the same time, such as rolling a 3 and a 5 on a single die throw. For these, the probability that either event occurs is the sum of their probabilities: P ( A  or  B ) = P ( A ) + P ( B ) P(A \text{ or } B) = P(A) + P(B) .

    Solved Examples

    1. Example 1: Single Event
      A bag contains 5 red marbles, 3 blue marbles, and 2 green marbles. If one marble is picked at random, what is the probability that it is blue?
      1. Identify the number of favorable outcomes: There are 3 blue marbles.
      2. Identify the total number of outcomes: 5 + 3 + 2 = 10 5 + 3 + 2 = 10 .
      3. Apply the formula: P ( blue ) = 3 10 P( \text{blue}) = \frac{3}{10} .
      4. The answer is 0.3 or 30%.
    2. Example 2: Independent Events
      A fair six-sided die is rolled, and a fair coin is flipped. What is the probability of rolling a 4 and flipping heads?
      1. Probability of rolling a 4: P ( 4 ) = 1 6 P(4) = \frac{1}{6} .
      2. Probability of flipping heads: P ( H ) = 1 2 P(H) = \frac{1}{2} .
      3. Multiply the independent probabilities: 1 6 Γ— 1 2 = 1 12 \frac{1}{6} \times \frac{1}{2} = \frac{1}{12} .
      4. The result is 1 12 \frac{1}{12} .
    3. Example 3: Complementary Events
      The probability that it will rain tomorrow is 2 7 \frac{2}{7} . What is the probability that it will not rain?
      1. Identify the probability of the event: P ( rain ) = 2 7 P( \text{rain}) = \frac{2}{7} .
      2. Subtract from 1 to find the complement: 1 βˆ’ 2 7 1 - \frac{2}{7} .
      3. Calculate: 7 7 βˆ’ 2 7 = 5 7 \frac{7}{7} - \frac{2}{7} = \frac{5}{7} .
      4. The answer is 5 7 \frac{5}{7} .

    Practice Questions

    1. A standard deck of 52 playing cards is shuffled. What is the probability of drawing a Queen from the deck?

    2. A jar contains 12 gold coins and 18 silver coins. If one coin is selected at random, what is the probability that it is gold?

    3. Two fair six-sided dice are rolled simultaneously. What is the probability that the sum of the numbers shown is exactly 3?

    Train smarter for the GRE.

    Use Bevinzey's adaptive GRE preparation tools to improve retention, accuracy, and performance.

    Practice GRE Questions

    4. If a spinner is divided into 8 equal sections numbered 1 through 8, what is the probability that the spinner lands on a prime number?

    5. A box contains 4 black pens and 6 blue pens. If two pens are drawn one after another with replacement, what is the probability that both pens are black?

    6. In a group of 20 students, 12 are majoring in Math and 8 are majoring in English. If one student is chosen at random, what is the probability that the student is NOT a Math major?

    7. A bag contains 10 colored balls: 3 are red, 2 are yellow, and 5 are green. If one ball is picked, what is the probability that it is either red or yellow?

    8. What is the probability of rolling a number greater than 4 on a single roll of a fair six-sided die?

    Answers & Explanations

    1. Answer: 1 13 \frac{1}{13}
      There are 4 Queens in a standard deck of 52 cards. The probability is 4 52 \frac{4}{52} , which simplifies to 1 13 \frac{1}{13} . You can find more Free GRE Practice Questions to test your speed on simplification.
    2. Answer: 0.4 (or 2 5 \frac{2}{5} )
      Total coins = 12 + 18 = 30 12 + 18 = 30 . Favorable outcomes (gold coins) = 12. Probability = 12 30 \frac{12}{30} . Dividing both by 6 gives 2 5 \frac{2}{5} , or 0.4.
    3. Answer: 1 18 \frac{1}{18}
      When rolling two dice, there are 6 Γ— 6 = 36 6 \times 6 = 36 total outcomes. The outcomes that sum to 3 are (1, 2) and (2, 1). There are 2 favorable outcomes. Probability = 2 36 = 1 18 \frac{2}{36} = \frac{1}{18} .
    4. Answer: 0.5 (or 1 2 \frac{1}{2} )
      The prime numbers between 1 and 8 are 2, 3, 5, and 7. There are 4 prime numbers out of 8 total sections. Probability = 4 8 = 0.5 \frac{4}{8} = 0.5 .
    5. Answer: 0.16 (or 4 25 \frac{4}{25} )
      The probability of picking a black pen is 4 10 = 0.4 \frac{4}{10} = 0.4 . Since the pen is replaced, the probability remains the same for the second draw. 0.4 Γ— 0.4 = 0.16 0.4 \times 0.4 = 0.16 .
    6. Answer: 0.4 (or 2 5 \frac{2}{5} )
      If 12 are Math majors, then 20 βˆ’ 12 = 8 20 - 12 = 8 are not Math majors. The probability is 8 20 \frac{8}{20} , which simplifies to 2 5 \frac{2}{5} or 0.4.
    7. Answer: 0.5 (or 1 2 \frac{1}{2} )
      Since picking a red ball and picking a yellow ball are mutually exclusive, we add the probabilities: 3 10 + 2 10 = 5 10 = 0.5 \frac{3}{10} + \frac{2}{10} = \frac{5}{10} = 0.5 .
    8. Answer: 1 3 \frac{1}{3}
      The numbers greater than 4 on a die are 5 and 6. There are 2 favorable outcomes out of 6 possible outcomes. 2 6 = 1 3 \frac{2}{6} = \frac{1}{3} .
    Interactive quizQuestion 1 of 5

    1. If the probability of event A occurring is 0.35, what is the probability of event A NOT occurring?

    Pick an answer to check

    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 change the probability of the second event, such as rolling a die twice. Dependent events occur when the first outcome changes the total pool of possibilities, such as picking a card and not replacing it before picking a second one.

    Can a probability be expressed as a negative number?

    No, a probability must always be a non-negative value between 0 and 1. A negative value would imply a likelihood less than impossible, which is mathematically undefined in standard probability theory.

    How do I calculate the probability of "A or B"?

    For mutually exclusive events, you simply add the individual probabilities of A and B. If the events can overlap, you must add the probabilities and then subtract the probability of both occurring together to avoid double-counting.

    Why is it helpful to use the complement rule?

    The complement rule is useful when it is mathematically easier to calculate the probability of an event not happening than the event itself. By subtracting the "not" probability from 1, you efficiently find the desired answer for complex scenarios.

    Is probability different from odds?

    Yes, probability is the ratio of favorable outcomes to the total outcomes, while odds are the ratio of favorable outcomes to unfavorable outcomes. For example, if the probability of winning is 1 / 4 1/4 , the odds of winning are 1 to 3.

    Train smarter for the GRE.

    Use Bevinzey's adaptive GRE preparation tools to improve retention, accuracy, and performance.

    Practice GRE Questions

    Start studying smarter β€” free

    Get personalized AI study tools. No credit card.

    Tags

    GRE

    Enjoyed this article?

    Share it with others who might find it helpful.