A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape. 389 356 359 363 375 425 326 395 402 373 373 370 365 367 364 325 339 393 392 369 375 359 357 404 335 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are 371.08 and 24.41, respectively
A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape. 389 356 359 363 375 425 326 395 402 373 373 370 365 367 364 325 339 393 392 369 375 359 357 404 335 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are 371.08 and 24.41, respectively
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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A sample of 26 offshore oil workers took part in a simulated escape exercise, resulting in the accompanying data on time (sec) to complete the escape.
389 | 356 | 359 | 363 | 375 | 425 | 326 | 395 | 402 |
373 | 373 | 370 | 365 | 367 | 364 | 325 | 339 | 393 |
392 | 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 pattern; the sample mean and sample standard deviation are 371.08 and 24.41, 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 level of 95%.
c)
Suppose that two additional workers will be chosen to participate in the simulated escape exercise. Denote their escape times by X27 and X28, and let Xnew denote the average of these two values. Modify the formula for a PI for a single x value to obtain a PI for Xnew, and calculate a 95% two-sided interval based on the given escape data.
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