EXAMPLE 4.4Approximately 70% of statistics students do their homework in time for it to be collected and graded.Each student does homework independently. In a statistics class of 50 students, what is the probabilitythat at least 40 will do their homework on time? Students are selected randomly.a. This is a binomial problem because there is only a success or athere are a fixed number of trials, and the probability of a success is 0.70 for eachtrial.***b. If we are interested in the number of students who do their homework on time,then how do we define X?c. What values does x take on?e. If p + q = 1, then what is q?f. The words "at least" translate as what kind of inequality for the probabilityquestion P(x 40).

Answered: Image /qna-images/answer/bf756b92-5b5e-4d51-b199-46185a6a8601.jpg

Answered: EXAMPLE 4.4 *** Approximately 70% of…

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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According to the college registrar's office, 45% of students enrolled in an introductory statistics class this semester are freshmen, 20% are sophomores, 25% are juniors, and 10% are seniors. You want to determine the probability that in a random sample of five students enrolled in introductory statistics this semester, exactly two are freshmen. (a) Describe a trial. Can we model a trial as having only two outcomes? If so, what is success? What is failure? Choose one of the statements below:A. A trial consists of looking at the class status of a student enrolled in introductory statistics. Yes we can model this trial with "freshman" being a success and "any other class" as a failure.B. A trial consists of looking at the class status of a student enrolled in introductory statistics. Yes we can model this trial with "junior" being a success and "any other class" as a failure.C. A trial consists of looking at the class status of a student enrolled in introductory statistics. Yes we can…
Example 2.3.28 A lot contains 20 articles. The probability that the lot contains exactly 2 defective articles is 0.4, and the probability that it contains 3 defective articles is 0.6. The articles are drawn one-by-one at random, and without replacement and they are tested till all defectives are found. What is the probability that the testing procedure ends at the twelfth testing?

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