Questions: Assume that random guesses are made for 7 multiple-choice questions on a test with 2 choices for each question, so that there are n=7 trials, each with probability of success (correct) given by p=0.50. Find the probability of no correct answers.

Assume that random guesses are made for 7 multiple-choice questions on a test with 2 choices for each question, so that there are n=7 trials, each with probability of success (correct) given by p=0.50. Find the probability of no correct answers.
Transcript text: Assume that random guesses are made for 7 multiple-choice questions on a test with 2 choices for each question, so that there are n=7 trials, each with probability of success (correct) given by p=0.50. Find the probability of no correct answers.
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Solution

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Solution Steps

Step 1: Define the Problem

We are tasked with finding the probability of getting no correct answers when making random guesses on 7 multiple-choice questions, each with 2 choices. This scenario can be modeled using a binomial distribution where:

  • \( n = 7 \) (the number of trials),
  • \( p = 0.50 \) (the probability of success, i.e., answering a question correctly),
  • \( q = 1 - p = 0.50 \) (the probability of failure, i.e., answering a question incorrectly).
Step 2: Apply the Binomial Probability Formula

The probability of getting exactly \( x \) successes (correct answers) in \( n \) trials is given by the formula:

\[ P(X = x) = \binom{n}{x} \cdot p^x \cdot q^{n-x} \]

For our case, we want to find the probability of getting \( x = 0 \) correct answers:

\[ P(X = 0) = \binom{7}{0} \cdot (0.50)^0 \cdot (0.50)^{7-0} \]

Step 3: Calculate the Probability

Calculating each component:

  • The binomial coefficient \( \binom{7}{0} = 1 \),
  • \( (0.50)^0 = 1 \),
  • \( (0.50)^7 = \frac{1}{128} \).

Thus, we have:

\[ P(X = 0) = 1 \cdot 1 \cdot \frac{1}{128} = \frac{1}{128} \approx 0.0078125 \]

Step 4: Round the Result

Rounding \( 0.0078125 \) to four significant digits gives us \( 0.0078 \).

Final Answer

The probability of getting no correct answers is

\[ \boxed{0.0078} \]

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