GPT4 is pulling these numbers out of its ... I mean, out of thin air ;)

GPT-4 is a language model, and while it was an interesting take, it appears to be the wrong tool for the job.

The answer is wrong and without any documentation or proof showing the line of thought to determine the result it's just a useless number.

Math is not really about the result. It is about understanding the process. Having an AI do that is completely against the purpose of asking this kind of questions in the first place. OP doesn't need to know if the chance is 68% or 75%, but rather how to figure it out.

To calculate the odds of getting a passing grade (at least one question correct) or a perfect score (both questions correct) through brute-force guessing, let's break down the scenario:

1. Each question has 4 possible answers, and only one is correct.
2. You have two attempts to answer each question.
3. You remember your previous answers and do not repeat them.

First, we'll calculate the probability of guessing at least one question correctly. There are two scenarios where you pass:

• Scenario 1: You get one question right and one wrong.
• Scenario 2: You get both questions right.

For each question:

• Probability of getting it right in one of the two tries = ( 1 - ) (Probability of getting it wrong twice)
• Probability of getting it wrong in one try = ( \frac{3}{4} ) (since there are 3 wrong answers out of 4)
• Probability of getting it wrong twice = ( \left( \frac{3}{4} \right)^2 )

So, the probability of getting at least one question right in two attempts is ( 1 - \left( \frac{3}{4} \right)^2 ).

For two questions:

• Scenario 1 (One Right, One Wrong):
  • Probability of getting one question right (as calculated above) multiplied by the probability of getting the other question wrong twice.
• Scenario 2 (Both Right):
  • Probability of getting each question right (as calculated above) and multiplying these probabilities together.

The overall probability of passing (getting at least one question right) is the sum of the probabilities of these two scenarios.

Now, let's calculate these probabilities.