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A Design Engineer Wants to Construct a Sample Mean Chart

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A design engineer wants to construct a sample mean chart for controlling the service life of a halogen headlamp his company produces. He knows from numerous previous samples that when this service life is in control it is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four headlamps, with these results:  Sample  Service Life (hours)  149550050550025255155055153470480460470\begin{array} { c c c c c } \text { Sample } & & { \text { Service Life (hours) } } \\\hline 1 & 495 & 500 & 505 & 500 \\2 & 525 & 515 & 505 & 515 \\3 & 470 & 480 & 460 & 470\end{array}
What is the mean of the sampling distribution of sample means when the service life is in control?


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