Additional Maths Binomial Probability Quiz

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| By Ericblock
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Ericblock
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Quizzes Created: 1 | Total Attempts: 323
Questions: 10 | Attempts: 323

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Binomial Theorem Quizzes & Trivia

Binomial probability refers to the probability that a binomial experiment result in exactly x successes. Meteorologists as well as economic conditions due to the economic changes and nature of the changes can apply this in real life situations such as weather forecasting. Additional Maths Binomial Probability Quiz will guide your understanding of this. Success.


Questions and Answers
  • 1. 

    Lotte takes a test. Each question in the test has 4 answers. There are 10 questions in the test. She chooses one of the answers (a)-(d) for each question at random.The probability that she gets all 10 wrong is:

    • A.

      7.5

    • B.

      0.75

    • C.

      0.0563

    • D.
    Correct Answer
    C. 0.0563
    Explanation
    The probability of getting one question wrong is 3/4 (since there are 4 possible answers and she chooses one at random). Since there are 10 questions, the probability of getting all 10 wrong is (3/4)^10, which is approximately 0.0563.

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  • 2. 

    Sruthi takes a test. Each question in the test has 4 answers. There are 10 questions in the test. She chooses one of the answers (a)-(d) for each question at random.The probability that she gets exactly 9 wrong is:

    • A.
    • B.

      0.188

    • C.

      0.0188

    • D.

      None of these

    Correct Answer
    B. 0.188
    Explanation
    The probability that Sruthi gets exactly 9 wrong can be calculated using the binomial probability formula. Since there are 10 questions and each question has 4 possible answers, the probability of getting a question wrong is 3/4 and the probability of getting a question right is 1/4. To get exactly 9 wrong, Sruthi needs to get only one question right out of the 10. Therefore, the probability can be calculated as (10 choose 1) * (1/4)^1 * (3/4)^9 = 10 * 1/4 * (3/4)^9 = 0.188.

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  • 3. 

    Neha takes a test. Each question in the test has 4 answers. There are 10 questions in the test. She chooses one of the answers (a)-(d) for each question at random.The probability that she gets exactly 5 wrong is:

    • A.

      0.188

    • B.

      0.0584

    • C.
    • D.

      None of these

    Correct Answer
    B. 0.0584
    Explanation
    The probability that Neha gets exactly 5 wrong can be calculated using the binomial probability formula. Since there are 10 questions and each question has 4 possible answers, the probability of getting a question wrong is 3/4. Therefore, the probability of getting exactly 5 wrong can be calculated as (10 choose 5) * (3/4)^5 * (1/4)^5 = 0.0584.

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  • 4. 

    A fair six-sided die is rolled 8 times. What is the probability of getting exactly two 4s?

    • A.

      0.234 

    • B.

      0.312 

    • C.

      0.297 

    • D.

      0.254

    Correct Answer
    C. 0.297 
  • 5. 

    Karishma takes a test. Each question in the test has 4 answers. There are 10 questions in the test. She chooses one of the answers (a)-(d) for each question at random.The probability that she gets at least 9 correct is:

    • A.

      0.756

    • B.
    • C.

      0.812

    • D.

      None of these

    Correct Answer
    B.
    Explanation
    The probability that Karishma gets at least 9 correct can be calculated by finding the probability of getting exactly 9 correct and the probability of getting all 10 correct, and then adding these probabilities together. The probability of getting exactly 9 correct is calculated by multiplying the probability of getting one question correct (1/4) by the probability of getting the other 9 questions incorrect (3/4) and then multiplying by the number of ways to arrange 9 correct answers in a set of 10 questions (10C9). The probability of getting all 10 correct is simply (1/4)^10. Adding these probabilities together gives a probability of approximately 0.756.

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  • 6. 

    I choose 6 glasses at random from a large batch of glasses, 20% of which are faulty. Find the probability that, of the 6 chosen, none are faulty.

    • A.

      0.262

    • B.

      0.8

    • C.
    • D.
    Correct Answer
    A. 0.262
    Explanation
    The probability of choosing a non-faulty glass from the batch is 80% (1 - 20% = 80%). Since we are choosing 6 glasses at random, the probability of choosing a non-faulty glass for each selection is 0.8. To find the probability that none of the 6 chosen glasses are faulty, we multiply the probabilities together: 0.8 * 0.8 * 0.8 * 0.8 * 0.8 * 0.8 = 0.262. Therefore, the probability that none of the 6 chosen glasses are faulty is 0.262.

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  • 7. 

    I choose 6 glasses at random from a large batch of glasses, 20% of which are faulty. Find the probability that, of the 6 chosen, exactly 2 are faulty.

    • A.

      0.0164

    • B.

      0.0154

    • C.
    • D.

      0.246

    Correct Answer
    D. 0.246
    Explanation
    The probability of choosing exactly 2 faulty glasses out of 6 can be calculated using the binomial probability formula. The formula is P(X=k) = (nCk) * p^k * (1-p)^(n-k), where n is the total number of trials (6), k is the number of successful outcomes (2), p is the probability of success (20% or 0.2), and (nCk) is the combination formula. Plugging in the values, we get P(X=2) = (6C2) * 0.2^2 * 0.8^4 = 15 * 0.04 * 0.4096 = 0.246.

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  • 8. 

    I choose 6 glasses at random from a large batch of glasses, 20% of which are faulty. Find the probability that, of the 6 chosen, exactly 4 are faulty.

    • A.

      0.0154

    • B.
    • C.
    • D.

      0.4096

    Correct Answer
    A. 0.0154
    Explanation
    The probability of choosing a faulty glass from the batch is 20%. Since we are choosing 6 glasses at random, the probability of choosing exactly 4 faulty glasses can be calculated using the binomial probability formula. The formula is P(X=k) = (nCk) * p^k * (1-p)^(n-k), where n is the total number of trials, k is the number of successful outcomes, p is the probability of success, and (nCk) represents the number of combinations. In this case, n=6, k=4, and p=0.2. Plugging these values into the formula, we get P(X=4) = (6C4) * 0.2^4 * (1-0.2)^(6-4) = 15 * 0.0016 * 0.64 = 0.0154. Therefore, the probability that exactly 4 out of the 6 chosen glasses are faulty is 0.0154.

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  • 9. 

    I choose 6 glasses at random from a large batch of glasses, 20% of which are faulty. Find the probability that, of the 6 chosen, at least 1 is faulty.

    • A.

      0.738

    • B.

      0.393

    • C.

      0.2

    • D.

      0.998

    Correct Answer
    A. 0.738
    Explanation
    To find the probability that at least one out of six randomly chosen glasses is faulty, we can use the concept of complementary probability. The complementary probability is the probability that the opposite event occurs, in this case, the probability that none of the six chosen glasses are faulty.

    The probability that a randomly chosen glass is not faulty is 1 - 0.20 = 0.80. Therefore, the probability that none of the six chosen glasses are faulty is 0.80^6 = 0.262.

    The probability that at least one out of the six chosen glasses is faulty is equal to 1 minus the probability that none of them are faulty. So, the probability is 1 - 0.262 = 0.738.

    Therefore, the correct answer is 0.738.

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  • 10. 

    I choose 6 glasses at random from a large batch of glasses, 20% of which are faulty. Find the probability that, of the 6 chosen, at least 2 are good.

    • A.

      0.655

    • B.
    • C.

      0.998

    • D.

      0.345

    Correct Answer
    C. 0.998
    Explanation
    The probability that at least 2 glasses are good can be calculated by finding the probability that exactly 0 or 1 glass is good and subtracting it from 1. To find the probability that exactly 0 glasses are good, we can calculate (0.2)^6 since each glass has a 20% chance of being faulty. To find the probability that exactly 1 glass is good, we can calculate 6*(0.2)^1*(0.8)^5 since there are 6 ways to choose which glass is good. Subtracting these probabilities from 1 gives us the probability that at least 2 glasses are good, which is approximately 0.998.

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  • Current Version
  • Apr 05, 2024
    Quiz Edited by
    ProProfs Editorial Team
  • Feb 24, 2015
    Quiz Created by
    Ericblock
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