Suppose that the test score of a student taking the final of a probability course is a random variable with mean 80. (a) Give an upper bound for the probability that a student's test score will exceed 90. P{score > 90} s (b) Suppose that we know, in addition, that the variance of students' test scores on the final is 30. What can you say about the probability that a student will score between 70 and 90 (do not use the central limit theorem)? P{70 < score < 90} ? v (c) How many students would have to take the final to ensure with a probability of at least 0.95 that the class average would be within 3 of 80 (do not use the central limit theorem)? n = (d) If you use the central limit theorem in (c), what is your estimate for the number of students needed?
Suppose that the test score of a student taking the final of a probability course is a random variable with mean 80. (a) Give an upper bound for the probability that a student's test score will exceed 90. P{score > 90} s (b) Suppose that we know, in addition, that the variance of students' test scores on the final is 30. What can you say about the probability that a student will score between 70 and 90 (do not use the central limit theorem)? P{70 < score < 90} ? v (c) How many students would have to take the final to ensure with a probability of at least 0.95 that the class average would be within 3 of 80 (do not use the central limit theorem)? n = (d) If you use the central limit theorem in (c), what is your estimate for the number of students needed?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![Suppose that the test score of a student taking the final of a probability course is a random variable with mean 80.
(a) Give an upper bound for the probability that a student's test score will exceed 90.
P{score > 90} <
(b) Suppose that we know, in addition, that the variance of students' test scores on the final is 30. What can you say about the probability that a
student will score between 70 and 90 (do not use the central limit theorem)?
P{70 < score < 90} ?
(c) How many students would have to take the final to ensure with a probability of at least 0.95 that the class average would be within 3 of 80 (do not
use the central limit theorem)?
n =
(d) If you use the central limit theorem in (c), what is your estimate for the number of students needed?
п —](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1e0d396c-e5f5-46c2-813a-9ed0820c37ca%2Fc8806ae8-1e70-4dd9-8e85-d5dfaf60fa7b%2Fl62wwb_processed.png&w=3840&q=75)
Transcribed Image Text:Suppose that the test score of a student taking the final of a probability course is a random variable with mean 80.
(a) Give an upper bound for the probability that a student's test score will exceed 90.
P{score > 90} <
(b) Suppose that we know, in addition, that the variance of students' test scores on the final is 30. What can you say about the probability that a
student will score between 70 and 90 (do not use the central limit theorem)?
P{70 < score < 90} ?
(c) How many students would have to take the final to ensure with a probability of at least 0.95 that the class average would be within 3 of 80 (do not
use the central limit theorem)?
n =
(d) If you use the central limit theorem in (c), what is your estimate for the number of students needed?
п —
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