Final answer:
In the context of predicting a final exam score from another exam score, joint, marginal, and conditional probabilities are relevant, as well as the calculation of expected values using probability distributions. A complete table of data is needed for precise calculations.
Step-by-step explanation:
In answering the student's question on predicting a final exam score based on another exam score, we need to understand statistical concepts like joint, marginal, and conditional probabilities. However, given that the question appears incomplete, we'll instead focus on the principles involved in working with such problems. Assuming we had a complete table of data, you would calculate joint probabilities by dividing the count of students with both scores by the total number of students. Marginal probabilities would involve the totals of one score irrespective of the other, and conditional probabilities would look at the probability of one event happening given that another has occurred.
For expected values, typically we would calculate them by multiplying each possible value of a random variable by its probability and summing all these products. If the survey data provided included a probability distribution, we could use this to calculate the expected final exam score based on a given third exam score.