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
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Chapter1: Starting With Matlab
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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.
389 357 359 363 375
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 pattern; the sample mean and sample standard deviation are
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 level of 95%.
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.
(c) Suppose that two additional workers will be chosen to participate in the simulated escape exercise. Denote their escape times by X2, and X,3, and let Xpew denote the
average of these two values. Modify the formula for a PI for a single x value to obtain a PI for Xpew, and calculate a 95% two-sided interval based on the given escape
data.
Transcribed Image Text: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. 389 357 359 363 375 425 326 394 403 374 373 371 365 367 364 326 339 393 393 369 375 359 357 404 335 398 A normal probability plot of the n = 26 observations on escape time given above shows a substantial linear pattern; the sample mean and sample standard deviation are 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 level of 95%. 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. (c) Suppose that two additional workers will be chosen to participate in the simulated escape exercise. Denote their escape times by X2, and X,3, and let Xpew denote the average of these two values. Modify the formula for a PI for a single x value to obtain a PI for Xpew, and calculate a 95% two-sided interval based on the given escape data.
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