sample of 26 offshore oil workers took part in a simulated escape exercise, resulting accompanying data e 389 357 359 363 375 425 326 394 403 374 373 371 365 367 364 326 339 393 393 369 375 359 357 404 335 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear patter 371.27 and 24.36, respectively. (Round your answers to two decimal places.) (a) Calculate an upper confidence bound for population mean escape time using a confidence level of 95%. (b) Calculate an upper prediction bound for the escape time of a single additional worker using a prediction leve How does this bound compare with the confidence bound of part (a)? O The upper prediction bound is lower than the upper confidence bound. O The upper prediction bound is higher than the upper confidence bound. O The upper prediction bound is equal to the the upper confidence bound.
sample of 26 offshore oil workers took part in a simulated escape exercise, resulting accompanying data e 389 357 359 363 375 425 326 394 403 374 373 371 365 367 364 326 339 393 393 369 375 359 357 404 335 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear patter 371.27 and 24.36, respectively. (Round your answers to two decimal places.) (a) Calculate an upper confidence bound for population mean escape time using a confidence level of 95%. (b) Calculate an upper prediction bound for the escape time of a single additional worker using a prediction leve How does this bound compare with the confidence bound of part (a)? O The upper prediction bound is lower than the upper confidence bound. O The upper prediction bound is higher than the upper confidence bound. O The upper prediction bound is equal to the the upper confidence bound.
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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