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NS

Answered

Which of the following statements about customized task inventories as tools for job analyses is true?

A) Customized task and work behavior inventories rate task or work behavior in terms of energy, time, and physical resource requirements.
B) The development of customized task or work behaviors depends heavily on the cooperation of employees.
C) Only a small sample of the employee population is needed to develop the customized task and work behavior inventory.
D) Customized task and work behavior inventories are difficult to score and analyze.
E) Customized task and work behavior inventories work best in companies in which very few employees perform identical, or nearly identical, jobs.

On Sep 26, 2024


B
NS

Answered

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that when the process is operating as intended, packaging weight is normally distributed with a mean of twenty ounces, and a process standard deviation of two ounces. Each day last week, he randomly selected four packages and weighed each. The data from that activity appears below.  Weight  Day  Package 1 Package 2 Package 3  Package 4  Monday 23222324 Tuesday 23211921 Wednesday 20192021 Thursday 18192019 Friday 18202220\begin{array} { | l | l | l | l | l | } \hline & { \text { Weight } } \\\hline \text { Day } & \text { Package } 1 & \text { Package } 2 & \text { Package 3 } & \text { Package 4 } \\\hline \text { Monday } & 23 & 22 & 23 & 24 \\\hline \text { Tuesday } & 23 & 21 & 19 & 21 \\\hline \text { Wednesday } & 20 & 19 & 20 & 21 \\\hline \text { Thursday } & 18 & 19 & 20 & 19 \\\hline \text { Friday } & 18 & 20 & 22 & 20 \\\hline\end{array} Day  Monday  Tuesday  Wednesday  Thursday  Friday  Weight  Package 12323201818 Package 22221191920 Package 3 2319202022 Package 4 2421211920 (a) If he sets an upper control limit of 21 and a lower control limit of 19 around the target value of twenty ounces, what is the probability of concluding that this process is out of control when it is actually in control?
(b) With the UCL and LCL of part a, what do you conclude about this process-is it in control?

On Sep 23, 2024


(a) These control limits are one standard error away from the centerline, and thus include 68.268% of the area under the normal distribution. There is therefore a 31.732% chance that, when the process is operating in control, a sample will indicate otherwise.
(b) The mean of sample 1 lies outside the control limits. All other points are on or within the limits. The process is not in control.