Improve Test Scores: Solving Probability Problems with Expert Help

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Discussion Overview

The discussion revolves around calculating probabilities related to a student's performance on a multiple-choice test consisting of 12 questions, where the student has a probability of knowing the correct answer and a probability of guessing. The focus includes the application of binomial distribution and conditional probability to solve specific probability questions.

Discussion Character

  • Mathematical reasoning
  • Homework-related
  • Technical explanation

Main Points Raised

  • One participant suggests that the probability of getting a question right is a combination of knowing the answer (2/3) and guessing correctly (1/4), leading to a total probability of 3/4.
  • Another participant questions the calculation of the guessing probability, suggesting it should be 1/4 instead of 1/12, given there are 4 possible answers.
  • A later reply provides a detailed breakdown of calculating the overall probability of answering correctly using conditional probabilities and the total probability theorem, arriving at 3/4 as the probability of answering correctly.
  • One participant expresses gratitude for the clarity provided in the explanation.

Areas of Agreement / Disagreement

There is some disagreement regarding the correct probability of guessing an answer correctly, with one participant asserting it is 1/12 and another arguing it should be 1/4. The discussion does not reach a consensus on this point.

Contextual Notes

Participants rely on assumptions about independence of questions and the definitions of probabilities involved, which may not be fully explored or agreed upon.

amywilliams99
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A student is about to take a test, which consists of 12 multiple choice
questions. Each question has 4 possible answers, of which only one is
correct. The student will answer each question independently. For each
question, there is a probability 2/3 that he knows the correct answer;
otherwise, he picks an answer at random.
(a) Compute the probability that he will get exactly 9 questions right.
(b) compute the probability that his 12th answer will be his 9th correct answer
(c) Compute the probability that his 6th answer will be the 5th correct answer and his 12th answer will be the 9th correct answer.

Please help. For a, I think its binomial distribution, but I am having trouble with the probability, Is it simply 2/3 or must you factor in the probability for guessing. ie - probability is 2/3 +1/4 for the correct answer??
 
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On any given question the probability that he gets the correct answer is 2/3 (knows) + 1/12 (doesn't know and guesses right) = 3/4. Use binomial to work out the probabilities.
 
mathman said:
On any given question the probability that he gets the correct answer is 2/3 (knows) + 1/12 (doesn't know and guesses right) = 3/4. Use binomial to work out the probabilities.

Can I ask why 1/12 for the probability of doesn't know and guesses right? Wouldnt it be 1/4, given that there are 4 possible multiple choice answers?
 
amywilliams99 said:
A student is about to take a test, which consists of 12 multiple choice
questions. Each question has 4 possible answers, of which only one is
correct. The student will answer each question independently. For each
question, there is a probability 2/3 that he knows the correct answer;
otherwise, he picks an answer at random.
(a) Compute the probability that he will get exactly 9 questions right.

Please help. For a, I think its binomial distribution, but I am having trouble with the probability, Is it simply 2/3 or must you factor in the probability for guessing. ie - probability is 2/3 +1/4 for the correct answer??

Since answering each question is independent from the others, it is sufficient to calculate the probability p that the student will answer the question right. Then the required probability is given by the Bernoulli distribution:

[tex] P_{9}(12, p) = \left( \begin{array}{c}12 \\ 9 \end{array} \right) p^{9} q^{3}, \ p + q = 1[/tex]

On to calculating p! This is solved by the formula for total probability under conditional probability. Namely, let event [tex]A[/tex] be: "The student knows the correct answer" and let [tex]\overline{A}[/tex] be: "The student does not know the correct answer". From what is given, we have:

[tex] P(A) = \frac{2}{3}, \ P(\overline{A}) = 1 - P(A) = \frac{1}{3}[/tex]

Then, we have [tex]B[/tex] be: "The student chooses the correct answer". We need the conditional probabilities [tex]P(B | A)[/tex] and [tex]P(B | \overline{A})[/tex] to calculate [tex]P(B) \equiv p[/tex]. These are derived using logic and what is given:


[tex] P(B | A) = 1[/tex]

because the student will definitely choose the correct answer if he knows the correct answer (event [tex]A[/tex]).


[tex] P( B | \overline{A}) = \frac{1}{4}[/tex]

because the student chooses at random out of 4 choices when he does not know the correct answer (event [tex]\overline{A}[/tex]). Then, by the formula for the total probability:


[tex] p \equiv P(B) = P(A) P(B | A) + P(\overline{A}) P(B | \overline{A}) = \frac{2}{3} \cdot 1 + <br /> \frac{1}{3} \cdot \frac{1}{4} = \frac{2}{3} + \frac{1}{12} = \frac{9}{12} = \frac{3}{4}[/tex]

All you need to do is substitute in the other numbers and compute the result. Good luck! :)
 
Thank you SO much, I understand!
 

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