Suppose that the university administration becomes very concerned about the amount of partying (and thus lack of studying) done by students. They urge faculty to provide strong incentives for students to study hard. Some professors complain quietly that they will now have to grade carefully all the time, but one economist says there is little need for concern: professors can still throw darts sometimes and make students study. What does she mean? Find the lowest probability that the professor grades carefully that will ensure that students study hard all the time (note that an answer that makes students indifferent between studying and partying is not enough; professors must be sure students will study hard all the time). Professors need to grade carefully with probability
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The university administration is concerned about students partying instead of studying. They want professors to create strong incentives for students to study hard. The economist suggests that professors can still have a mix of grading carefully and grading less Show more…
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Based on years of experience, an economics professor knows that on the first principles of economics exam of the semester, 13% of students will receive an A, 22% will receive a B, 35% will receive a C, 20% will receive a D, and the remainder will earn an F. Assume a 4-point grading scale (A = 4, B = 3, C = 2, D = 1, and F = 0). Define the random variable GRADE to be the grade of a randomly chosen student, with possible values of 4, 3, 2, 1, and 0. a: What is the probability distribution f(GRADE) for this random variable? b: What is the expected value of GRADE? What is the variance of GRADE? Show your work. The professor has 300 students in each class. Suppose that the grade of the ith student is GRADEi, and that the probability distribution of grades f(GRADEi) is the same for all students. Define CLASS_AVG = ΣGRADEi/300. Find the expected value and variance of CLASS_AVG. The professor has estimated that the number of economics majors coming from the class is related to the grade on the first exam. He believes the relationship to be MAJORS = 50 + 10*CLASS_AVG. Find the expected value and variance of MAJORS. Show your work.
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From past experience a professor knows that the test score of a student taking her final examination is a random variable with mean 75 . (a) Give an upper bound for the probability that a student's test score will exceed $85 .$ Suppose, in addition, the professor knows that the variance of a student's test score is equal to 25 . (b) What can be said about the probability that a student will score between 65 and 85 ? (c) How many students would have to take the examination to ensure, with probability at least 9 , that the class average would be within 5 of 75 ? Do not use the central limit theorem.
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Consider a multiple-choice examination with 50 questions. Each question has four possible answers. Assume that a student who has done the homework and attended lectures has a $75 \%$ probability of answering any question correctly. a. $\quad$ A student must answer 43 or more questions correctly to obtain a grade of $\mathrm{A}$. What percentage of the students who have done their homework and attended lectures will obtain a grade of A on this multiple-choice examination? b. A student who answers 35 to 39 questions correctly will receive a grade of $C .$ What percentage of students who have done their homework and attended lectures will obtain a grade of $\mathrm{C}$ on this multiple-choice examination? c. A student must answer 30 or more questions correctly to pass the examination. What percentage of the students who have done their homework and attended lectures will pass the examination? d. Assume that a student has not attended class and has not done the homework for the course. Furthermore, assume that the student will simply guess at the answer to each question. What is the probability that this student will answer 30 or more questions correctly and pass the examination?
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