The objective of statistical process control (SPC) is to:   Determine whether a batch of raw materials should be accepted or rejected.   Determine whether a batch of finished goods should be accepted or rejected.   Detect assignable cause variations versus normal random variations in the process.   Identify variable versus attribute measures.

Independent random samples selected at two local malls provided the following information regarding purchases by patrons of the two malls.     Hamilton Place Eastgate Sample size 85 93 Average purchase $143  $150  Standard deviation $22  $18    State the null and alternative hypotheses, to test if the purchases in two malls are different?          H0:M1-M2<0 Ha:M1-M2>0     H0:M1-M2=0 Ha:M1-M2!=0     H0:M1-M2<=0 Ha:M1-M2>0     H0:M1-M2>=0 Ha:M1-M2< Question to Answer:Standard population meanStandard deviationLevel (a)SampleOne or two tailed testZ ValueH0HA

An avant-garde clothing manufacturer runs a series of high-profile, risqué ads on a billboard on the Trans-Canada Highway and regularly collects protest calls from people who are offended by them. The company has no idea how many people in total see the ads, but it has been collecting statistics on the number of phone calls from irate viewers: Type    Description    Number of ComplaintsR    Offensive racially/ethnically    10M    Demeaning to men    4W    Demeaning to women    14I    Ad(s) is/are incomprehensible    6O    Other    2Depict this data with a Pareto chart. Also depict the cumulative complaint line. What percent of the total complaints can be attributed to the most prevalent complaint?

Auto pistons at Wemming Chung's plant in Shanghai are produced in a forging process, and the diameter is a critical factor that must be controlled. From sample sizes of 5 pistons produced each day, the mean and the range of this diameter have been as follows: Day Mean (mm) Range R (mm) 158 4.3 151.2 4.4 155.7 4.2 153.5 4.8 156.6 4.5 What is the UCL using 3-sigma?(round your response to two decimal places). 1. 2. 4.

What are the key mistake proofing techniques in Six Sigma DMAIC phases?

The temperature of a burrito served to a customer in a local Mexican restaurant A: Discrete B;  Continous

2) The specification for a Lindemann’s stainless steel chimney liner requires a thickness of 7.1 mm ± 0.1 mm. The firm’s quality analyst determines that the liner process operates at a mean thickness of 7.13 mm with the standard deviation of the process being 0.02 mm.   a) Calculate the upper and the lower limits for the stainless steel chimney liner. b) Calculate the Cpand Cpkfor this process.   Hint: Cp = (Upper Specification Limit – Lower Specification Limit)/6sigma Cpk = minimum of [(Upper Specification Limit – Xbar)/3sigma], [(Xbar – Lower Specification Limit)/3sigma]

Inter-State Moving and Storage Company wishes to establish a control chart to monitor the proportion of residential moves that result in written complaints due to late delivery, lost items, or damaged items. A sample of 40 moves is selected for each of the last 12 months. The number of written complaints in each sample is 9, 7, 4, 9, 1, 9, 11, 5, 5, 8, 7, and 15. Number Defective Percent defective 9 18 7 14 4 8 9 18 1 2 9 18 11 22 5 10 5 10 8 16 7 14 15 30 a. Insert the mean proportion defective, UCL, and LCL. (Leave no cells blank - be certain to enter "0" wherever required. Round your intermediate calculations and final answers to 2 decimal places.) Mean proportion defective   UCL   LCL   c. Does it appear that the number of complaints is out of control for any of the months?multiple choice Yes No

Valtec Electronics Valtec Electronics fills orders for its electronic components and parts by truck to customers through several distribution centers. A measure of its supply chain responsiveness is order fulfillment lead time, which is the number of days from when a company receives an order to when it is delivered to the customer. A distribution center manager has taken 20 samples of 5 orders each during the month and recorded the lead time for each as follows. Construct an Xbar chart and R-chart using 30 limits for this data and indicate if the process is in control. Load Time (Days) Load Time (Days) 2.4 Samples Samples 1 1.3 2.4 0.7 3.0 1.8 15 3.7 7.0 1.4 3.3 2 2.1 1.2 1.0 2.5 3.6 16 3.6 2.7 4.8 2.0 1.7 3 4.2 3.3 2.6 1.5 3.0 17 0.4 1.8 6.5 3.2 4.8 4 1.6 2.1 2.8 0.9 1.5 18 5.3 2.9 3.4 4.8 4.6 5 2.6 3.0 1.4 4.6 1.9 19 2.7 3.6 2.9 4.1 5.2 6 0.8 2.7 5.8 3.7 4.5 20 4.7 2.0 2.0 3.1 1.8 7 2.6 3.5 3.1 3.6 1.4 8 3.4 6.1 1.5 2.5 2.8 9 3.1 2.5 2.2 2.9 1.8 10 2.4 4.8 5.9 3.2 4.4 11 1.9 2.7 3.4…

Using samples of 200 credit card statements, an auditor found the following: Sample 1 2 3 4 Number with errors 4 2 5 9 a. Determine the fraction defective in each sample. b. If the true fraction defective for this process is unknown, what is your estimate of it? c. What is your estimate of the mean and standard deviation of the sampling distribution of fractions defective for samples of this size? d. What control limits would give an alpha risk of .03 for this process? Page 457 e. What alpha risk would control limits of .047 and .003 provide? f. Using control limits of .047 and .003, is the process in control? g. Suppose that the long-term fraction defective of the process is known to be 2 percent. What are the values of the mean and standard deviation of the sampling distribution? h. Construct a control chart for the process, assuming a fraction defective of 2 percent, using two-sigma control limits. Is the process in control? Can you show me the steps and formulas using excel