he article “Uncertainty Estimation in Railway Track Life-Cycle Cost” (J. of Rail and Rapid Transit, 2009) presented the following data on time to repair (min) a rail break in the high rail on a curved track of a certain railway line. 159 120 480 149 270 547 340 43 228 202 240 218 A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively. a. Is there compelling evidence for concluding that true average repair time exceeds 200 min? Carry out a test of hypotheses using a significance level of .05. b. Using std= 150, what is the type II error probability of the test used in (a) when true average repair tim
The article “Uncertainty Estimation in Railway Track
Life-Cycle Cost” (J. of Rail and Rapid Transit, 2009)
presented the following data on time to repair (min) a rail
break in the high rail on a curved track of a certain railway line.
159 120 480 149 270 547 340 43 228 202 240 218
A normal probability plot of the data shows a reasonably linear pattern, so it is plausible that the population
distribution of repair time is at least approximately normal. The sample mean and standard deviation are 249.7 and 145.1, respectively.
a. Is there compelling evidence for concluding that true
average repair time exceeds 200 min? Carry out a
test of hypotheses using a significance level of .05.
b. Using std= 150, what is the type II error probability
of the test used in (a) when true average repair time
is actually 300 min? That is, what is b(300)?
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