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 appear below.
Weight
Day Package 1 Package 2 Package 3 Package 4
Monday 23 22 23 24
Tuesday 23 21 19 21
Wednesday 20 19 20 21
Thursday 18 19 20 19
Friday 18 20 22 20
(a) If he sets an upper control limit of 21 and a lower control limit of 19 around the target value of twenty ounces, the control chart is based on what value of z?
(b) With the UCL and LCL of part a, what do you conclude about this process–is it in control?
(a) These control limits are one standard error away from the centerline.
(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 based on the 1-sigma limits, although there's a significant chance with 1-sigma limits that the chart is sending a false positive out-of-control signal.
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What are the advantages and disadvantages of using demand-based pricing?
What will be an ideal response?
Which of the following is true about the tort of invasion of the right to privacy?
A) True statements or facts that are disclosed can support a claim for the invasion of the right to privacy. B) Once a fact has become public, its disclosure cannot thereafter support a claim for the invasion of the right to privacy. C) The tort requires that the defendant entered the plaintiff's home or place of business to acquire the information that was disclosed. D) The tort is actionable only by public figures.
Other forms of slotting fees include:
a. Key money. b. Negative allowances. c. Kickbacks. d. Both a and b e. All of the above