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. 389 357 359 363 376 425 325 394 403 374 373 371...

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Extracted 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. 389 357 359 363 376 425 325 394 403 374 373 371 365s 367 365 325 339 393 392 369 375 359 356 404 334 398 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 371.15 and 24.56, 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)? The upper prediction bound is lower than the upper confidence bound. The upper prediction bound is equal to the the upper confidence bound. The upper prediction bound is higher than 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 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. You may need to use the appropriate table in the Appendix of Tables to answer this question. Need Help? Read It