If a true-false test with 5 questions is given, what is the probability of scoring (A) Exactly 80% just by guessing? (B) 80% or better by just guessing? (A) P(exactly 80%) (Round to five decimal places as needed.)

A First Course in Probability (10th Edition)
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Author:Sheldon Ross
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**Probability of Scoring by Guessing on a True-False Test**

**Problem Statement:**
If a true-false test with 5 questions is given, what is the probability of scoring:

(A) Exactly 80% just by guessing?
(B) 80% or better by just guessing?

**Solution Approach:**

(A) P(exactly 80%) ≈ [Enter your answer here] (Round to five decimal places as needed.)

**Explanation:**

To solve this problem, use the binomial probability formula, where:

- **n** = number of trials (questions) = 5
- **p** = probability of success on each trial (correct answer by guessing) = 0.5
- **k** = number of successes needed for a particular score

**Calculations:**

- Exactly 80% means 4 correct answers out of 5 (80% of 5).
- The probability for exactly 4 correct answers can be calculated using the binomial probability formula:

\[ P(k) = \binom{n}{k} \times p^k \times (1-p)^{n-k} \]

For more detailed solutions or different probabilities, you can explore binomial probability distribution tables or calculators.
Transcribed Image Text:**Probability of Scoring by Guessing on a True-False Test** **Problem Statement:** If a true-false test with 5 questions is given, what is the probability of scoring: (A) Exactly 80% just by guessing? (B) 80% or better by just guessing? **Solution Approach:** (A) P(exactly 80%) ≈ [Enter your answer here] (Round to five decimal places as needed.) **Explanation:** To solve this problem, use the binomial probability formula, where: - **n** = number of trials (questions) = 5 - **p** = probability of success on each trial (correct answer by guessing) = 0.5 - **k** = number of successes needed for a particular score **Calculations:** - Exactly 80% means 4 correct answers out of 5 (80% of 5). - The probability for exactly 4 correct answers can be calculated using the binomial probability formula: \[ P(k) = \binom{n}{k} \times p^k \times (1-p)^{n-k} \] For more detailed solutions or different probabilities, you can explore binomial probability distribution tables or calculators.
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