Final answer:
To answer multiple-choice questions randomly, the probabilities were calculated for different scenarios based on the likelihood of each outcome. For exactly two correct answers: 3/16. For at least two correct: 13/64. For at most two correct: 51/64. The expected number of correct answers (mean) is 3/4, and the standard deviation is √(3/16).
Step-by-step explanation:
Probability of Correct Answers in Multiple-Choice Questions
To solve the problem, we consider each multiple-choice question (MCQ) to have four possible choices with only one correct answer. There are 3 multiple-choice questions in total.
a. Probability of Exactly Two Correct Answers
The probability of getting exactly one question right is ⅓ (1/4), and incorrect is ¾ (3/4). For exactly two correct answers, there are three possible scenarios: correct-correct-incorrect, correct-incorrect-correct, or incorrect-correct-correct. The probability for each scenario is (⅓²)×(¾) = 1/16. Thus, the total probability for exactly two correct answers is 3×(1/16) = 3/16.
b. Probability of At Least Two Correct Answers
Calculating the probability of at least two correct answers means finding the probability of exactly two correct (3/16) plus the probability of all three being correct. The chance of all three being correct is (1/4)³ = 1/64. The total is 3/16 + 1/64 = 13/64.
c. Probability of At Most Two Correct Answers
The probability of at most two correct answers is the sum of probabilities of getting zero, one, or exactly two correct. Zero correct yields (3/4)³ = 27/64, one correct is 3×(1/4)×(3/4)² = 27/64, and two correct is already found as 3/16. Summing these gives 51/64.
d. Expected Number of Correct Answers
The expected number of correct answers is the sum of the products of the number of successes and their probabilities: 0×(27/64) + 1×(27/64) + 2×(3/16) + 3×(1/64) which equals 3/4.
e. Standard Deviation of the Number of Correct Answers
The standard deviation is calculated using the expected value (mean) and the probabilities of 0, 1, 2, and 3 correct answers. The variance is the sum of the squared differences between each outcome and the mean, weighted by their probabilities. Following the calculations, the standard deviation comes out to √(3/16).