Math Problem Statement

A quiz consists of 20 multiple-choice questions, each with 4 possible answers. For someone who makes random guesses for all of the answers, find the probability of passing if the minimum passing grade is 60 %.

Solution

To solve this problem, we need to calculate the probability of passing the quiz, which requires answering at least 60% of the questions correctly. The quiz consists of 20 multiple-choice questions, each with 4 possible answers, and the minimum passing grade is 60%.

Step 1: Determine the Number of Correct Answers Needed to Pass

The quiz has 20 questions, and passing requires answering at least 60% of the questions correctly: Passing grade=0.60×20=12 correct answers.\text{Passing grade} = 0.60 \times 20 = 12 \text{ correct answers}. So, to pass, a person must answer at least 12 questions correctly.

Step 2: Probability of Answering a Question Correctly

Since the person is guessing randomly, the probability of guessing a question correctly is: P(correct)=14=0.25.P(\text{correct}) = \frac{1}{4} = 0.25. Thus, the probability of guessing incorrectly is: P(incorrect)=1P(correct)=0.75.P(\text{incorrect}) = 1 - P(\text{correct}) = 0.75.

Step 3: Define the Situation as a Binomial Distribution

This is a binomial distribution problem because:

  • There are 20 questions (trials),
  • Each question has two possible outcomes (correct or incorrect),
  • The probability of success (correct answer) is 0.25 for each trial.

The number of correct answers, XX, follows a binomial distribution XBinomial(n=20,p=0.25)X \sim \text{Binomial}(n = 20, p = 0.25).

We need to calculate the probability that the person gets at least 12 correct answers, i.e., P(X12)P(X \geq 12).

Step 4: Calculate the Probability of Passing

To find the probability of passing, we sum the probabilities of getting 12 or more correct answers: P(X12)=P(X=12)+P(X=13)++P(X=20).P(X \geq 12) = P(X = 12) + P(X = 13) + \dots + P(X = 20). The probability mass function for a binomial distribution is given by: P(X=k)=(nk)pk(1p)nk.P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}. Where:

  • (nk)\binom{n}{k} is the binomial coefficient,
  • pp is the probability of a correct answer,
  • kk is the number of correct answers.

This calculation involves multiple terms, so it's best done using a statistical calculator, a software tool like Python, or a binomial table.

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Math Problem Analysis

Mathematical Concepts

Probability
Binomial Distribution
Combinatorics

Formulas

P(correct) = 1/4 = 0.25
P(incorrect) = 1 - P(correct) = 0.75
P(X = k) = C(n, k) * p^k * (1-p)^(n-k)
P(X >= 12) = P(X = 12) + P(X = 13) + ... + P(X = 20)

Theorems

Binomial Theorem

Suitable Grade Level

Grades 10-12