A manufacturer of flashlight batteries claims that the average life of her batteries is larger than 400 hours. Peter, as a quality assurance officer in the manufacturing company, took a random sample of 13 batteries from a day’s production and used them continuously until they failed to work. The lifetime (hours) until failure was: 342 426 317 545 264 451 1049 631 512 266 492 562 298 (a) At the 0.05 level of significance, is there evidence that the manufacturer’s claim is correct? (b) What is the p-value?
A manufacturer of flashlight batteries claims that the average life of her batteries is larger than 400 hours. Peter, as a quality assurance officer in the manufacturing company, took a random sample of 13 batteries from a day’s production and used them continuously until they failed to work. The lifetime (hours) until failure was: 342 426 317 545 264 451 1049 631 512 266 492 562 298 (a) At the 0.05 level of significance, is there evidence that the manufacturer’s claim is correct? (b) What is the p-value?
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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A manufacturer of flashlight batteries claims that the average life of her batteries is larger than 400 hours. Peter, as a quality assurance officer in the manufacturing company, took a random sample of 13 batteries from a day’s production and used them continuously until they failed to work. The lifetime (hours) until failure was:
342 426 317 545 264 451 1049 631 512 266 492 562 298
(a) At the 0.05 level of significance, is there evidence that the manufacturer’s claim is correct?
(b) What is the p-value?
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