The following observations are lifetimes (days) subsequent to diagnosis for individuals suffering from plood cancer (“A Goodness of Fit Approach to the Class of Life Distributions with Unknown Age," Quality and Reliability Engr. Intl., 2012: 761–766): 115 181 255 418 441 461 516 739 743 789 807 865 924 983 1025 1062 1063 1165 1191 1222 1222 1251 1277 1290 1357 1369 1408 145 1478 1519 1578 1578 1599 1603 1605 1696 1735 1799 1815 1852 1899 1925 196 a. Can a confidence interval for true average lifetime be calculated without assuming anything about the nature of the lifetime distribution? Explain your reasoning. [Note: A normal probability plot of the data exhibits a reasonably linear pattern.] b. Calculate and interpret a confidence interval with a 99% confidence level for true average lifetime. [Hint: 7 = 1191.6 and s = 506.6.1

The following observations are lifetimes (days) subsequent to diagnosis for individuals suffering from plood cancer (“A Goodness of Fit Approach to the Class of Life Distributions with Unknown Age," Quality and Reliability Engr. Intl., 2012: 761–766): 115 181 255 418 441 461 516 739 743 789 807 865 924 983 1025 1062 1063 1165 1191 1222 1222 1251 1277 1290 1357 1369 1408 145 1478 1519 1578 1578 1599 1603 1605 1696 1735 1799 1815 1852 1899 1925 196 a. Can a confidence interval for true average lifetime be calculated without assuming anything about the nature of the lifetime distribution? Explain your reasoning. [Note: A normal probability plot of the data exhibits a reasonably linear pattern.] b. Calculate and interpret a confidence interval with a 99% confidence level for true average lifetime. [Hint: 7 = 1191.6 and s = 506.6.1

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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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