Example 9.22 Suppose we are interested in knowing the probability of getting at least 15 replies to aquestionnaire sent to 100 persons, assuming the probability that any one of these persons would replyis 0.2. In other words, we would like to know the probability of getting at least 15 successes (a successis taken as a reply to the questionnaire) in 100 trials when the probability of success on an individualtrial is 0.2.

Answered: Image /qna-images/answer/7244e995-af9e-4bf8-a16e-3f74ba5ba116.jpg

Answered: Example 9.22 Suppose we are interested…

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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Example 10.13 It has been found that 7 per cent of the tools manufactured by a factory are defective. What is the probability that in a shipment of 625 such tools (a) 8 per cent or more, and (b) 7 per cent or less will be defective?
Question 1 In a survey of top executives, it was found that 54% had either traveled internationally on business or could fluently speak a foreign language. The probability that an executive who had not traveled internationally could speak a foreign language was 20%. It was found that only 2% of the executives had traveled internationally and could speak a foreign language. Imagine we randomly pick a top executive who answered the survey. a.What is the probability that the executive has not traveled internationally and does not speak a foreign language fluently? b.What is the probability that the executive does not speak a foreign language fluently? c.What is the probaility that an executive has not traveled internationally? d. If we had a random sample of 10 top executives (who responded to the survey), what would be the probability that two had traveled internationally? -.
refer to the above question 1. if a student is selected at random then the probability that he/she has passed only one test (either math or state, bot not both) is
QUESTION 11 A critical thinking professor asked her students to indicate whether they believed each of two headlines. One headline was false, and the other was true, but the students did not know this. The probability that a student selected at random believed the true headline was 89% and the probability that the student believed the false headline was 85%. She found that 7896 of the students believed both headlines. a. In this sample, are the events "believed the false headline" and "believed the true headline" mutually exclusive? Explain b. Find the probability that a randomly selected student from this sample believed the true headline OR believed the false headline. T TTT Paragraph Arial 3 (12pt) T O Mashups HTML CSS Words:0 Path: p Click Save and Submit to save and submit. Click Sae All Answers to save all answers. >8 0
Q. 1 It is estimated that 80% of emails are spam emails. Some software has been applied to filter these spam emails before they reach our inbox. A certain brand of software claims that it can detect 99% of spam emails, and the probability for a false positive (a non-spam email detected as spam) is 5%. Now if an email is detected as spam, then what is the probability that it is in fact a non-spam email? event A: email is spam; event B: email is detected as spam. Assume that
Question 2: You are appointed as a quality engineer in a telecommunication company. Your manager asks you to enhance the company quality of service, by increasing the success rate for customers to get hold of tech support representatives. Assume that customers will call three times is an attempt to ask for tech support then give up. You want to make sure that you are able to serve at least 97% of the people who ask for tech support. Let p be the probability that a caller get hold of a tech support representative. What is the minimum value of p necessary to meet your goal?
part C and D
Thank you. I'm not sure about the result for the second question. What I'm having a hard time with is the probability that a total of 30 of the 546 crashes have occurred in the 48 time windows. My data shows that crashes occurred in 25 of these 48 time windows, with 3 in one of these and 2 in three others.
Example 2.1 260 bolts are examined as they are produced. Five of them are found to be defective. On the basis of this information, estimate the probability that a bolt will be defective.

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