Step 1: Understanding the Concept:
To model this scenario, we must identify the characteristics of the trials:
1. There is a fixed number of trials ($n = 30$ questions).
2. Each trial has only two mutually exclusive outcomes: success (correct answer) or failure (incorrect answer).
3. The probability of success remains constant across all trials ($p = \frac{1}{4} = 0.25$).
4. The trials are independent (the guess on one question does not affect the guess on another).
Detailed Explanation:
Let us evaluate the suitability of the proposed distributions:
- Uniform distribution: Used when all outcomes are equally likely over a continuous or discrete interval. It does not model a cumulative number of successes.
- Exponential distribution: A continuous distribution used to model time-to-event data.
- Poisson distribution: Used to model the number of events in a continuous time/space interval when the number of trials is extremely large and the success probability is very small.
- Binomial distribution: Perfectly designed for a fixed number of independent Bernoulli trials with a constant probability of success.
Therefore, the Binomial distribution $B(n=30, p=0.25)$ is used to calculate the probability of getting at least 20 questions correct.
Step 2: Final Answer:
The correct choice is the Binomial distribution, matching Option (D).