In: Statistics and Probability
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 | 376 | 424 | 326 | 395 | 402 |
373 | 374 | 371 | 364 | 366 | 365 | 325 | 339 | 394 |
392 | 369 | 375 | 359 | 356 | 403 | 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 24.35, 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 higher than the upper confidence bound. 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
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.
a)
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 25
't value=' tα/2= 2.0595 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 24.3500 /
√ 26 = 4.775428
margin of error , E=t*SE = 2.0595
* 4.77543 = 9.835178
confidence interval is
Interval Upper Limit = x̅ + E = 371.08
- 9.835178 =
380.915178
b)
margin of error for prediction interval,E=
t*s*√(1+1/n)= 51.1051
prediction interval is
Interval Upper Limit= x̅ + E =
422.1851
The upper prediction bound is higher than the upper confidence bound
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