A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures.Historically, the failure rate for LED light bulbs that the company manufactures is 4%. Suppose a random sample of 10LED light bulbs is selected. Complete parts (a) through (d) below.a. What is the probability that none of the LED light bulbs are defective?The probability that none of the LED light bulbs are defective is .6648(Type an integer or a decimal. Round to four decimal places as needed.)b. What is the probability that exactly one of the LED light bulbs is defective?The probability that exactly one of the LED light bulbs is defective is 2770(Type an integer or a decimal. Round to four decimal places as needed.)c. What is the probability that four or fewer of the LED light bulbs are defective?The probability that four or fewer of the LED light bulbs are defective is(Type an integer or a decimal. Round to four decimal places as needed.)d. What is the probability that five or more of the LED light bulbs are defective?The probability that five or more of the LED light bulbs are defective is(Type an integer or a decimal. Round to four decimal places as needed.)

The question is about binomial distribution Given : Failure rate for LED light bulbs ( p ) = 0.04…

Answered: A manufacturing company regularly…

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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When studying radioactive material, a nuclear engineer found that over 365 days, 1,000,000 radioactive atoms decayed to 975,073 radioactive atoms, so 24,927 atoms decayed during 365 days. a. Find the mean number of radioactive atoms that decayed in a day. b. Find the probability that on a given day, 50 radioactive atoms decayed. a. The mean number of radioactive atoms that decay per day is. (Round to three decimal places as needed.)
The probability is 0.35 that a traffic fatality involves an intoxicated or alcohol-impaired driver or nonoccupant. In nine traffic fatalities, find the probability that the number, Y, which involve an intoxicated or alcohol-impaired driver or nonoccupant is a. exactly three; at least three; at most three. b. between two and four, inclusive. c. Find and interpret the mean of the random variable Y. d. Obtain the standard deviation of Y. a. The probability that exactly three traffic fatalities involve an intoxicated or alcohol-impaired driver or nonoccupant is enter your response here. (Round to four decimal places as needed.) Part 2 The probability that at least three traffic fatalities involve an intoxicated or alcohol-impaired driver or nonoccupant is enter your response here. (Round to four decimal places as needed.) Part 3 The probability that at most three traffic fatalities involve an intoxicated or alcohol-impaired driver or nonoccupant is enter your…
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When studying radioactive material, a nuclear engineer found that over 365 days, 1,000,000 radioactive atoms decayed to 974,621 radioactive atoms, so 25,379 atoms decayed during 365 days. a. Find the mean number of radioactive atoms that decayed in a day. b. Find the probability that on a given day, 51 radioactive atoms decayed. a. The mean number of radioactive atoms that decay per day is. (Round to three decimal places as needed.) b. The probability that on a given day, 51 radioactive atoms decayed, is (Round to six decimal places as needed.) C
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Suppose that a screening test diagnoses 97% of sick people positive and 95% of healthy people negative. Assume that 7% of those screened are sick. If a screened person is chosen at random, then the probability of having a positive diagnosis is: O a. 0.0184 O b. 0.886 Oc. 0.406 O d. 0.594 O e. 0.114 Next p vity Jump to.. 2021
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