A quality-improvement technician samples every 500th bag of potato chips coming off the assembly line to test the chips for fat content. A) Systematic B) Cluster C) Convenience D) Random E) Stratified
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For problems 13 and 14, identify the type of sampling used.
13) A quality-improvement technician samples every 500th bag of potato chips coming off the assembly line to test the chips for fat content.
A) Systematic B) Cluster
C) Convenience D) Random
E) Stratified
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- Sampling Technique Scenarios Directions: For each question below, please select the technique that most closely matches the description. You work for a company as a quality control specialist and you have been assigned the task of checking the current products for defects. At the end of the day, you assign a number to each item that was produced. You randomly choose 20 numbers and inspect the items that correspond to the randomly chosen numbers. A. Simple Random Sample B. Stratified Random Sample C. Cluster Random Sample D. Systematic Random SampleWhat is the difference between sampling error and systematic error? Why are these important to understand?Quality Engineering question Why is decreasing variability so important during data collection and sampling? Please answer in your own words and please don't use handwriting. Thank you
- From the list below of the data being collected, identify which data would be appropriate for a P chart: Select ALL correct answers. Fluid ounces in a bottle of detergent Temperature of the fryer oil at the Lay's potato chip plant Number of articles with mistakes per every 100 sampled at a newspaper Percentage of flights that were not on-time for an airline Pizzas not made to order for a local pizzeria Weight of a bag of chips. Density of a golf ball Percentage of patients that had a medication error during their hospital stayRolls of coiled wire are monitored using a c-chart. Twenty rolls have been examined, and the number of defects per roll has been recorded in the following table. Using the set of 20 observations, perform run tests on the data. What can you conclude about the data? Sample Number of Defects Sample Number of Defects 11 1 2 3 4 5 167390 Test First Second 297445TASA 6 8 12 13 14 15 16. 17 18 19 20 Conclusion 6 7 5 7 5 106The manager of the customer service department of Data Tech Credit Card Service Company is concerned about the number of defects produced by the billing process. Every day a random sample of 250 statements was inspected for errors regarding incorrect entries involving account numbers, transactions on the customer’s account, interest charges, and penalty charges. Any statement with one or more of these errors was considered a defect. The study lasted 30 days and yielded the data in Table. Sample Data For Data Tech Credit Card Service Samples Number of Errors in Sample of 250 1–10 3 8 5 11 7 1 12 9 0 8 11–20 3 5 7 9 11 3 2 9 13 4 21–30 12 10 6 2 1 7 10 5 8 4 a. Construct a p-chart for the billing process.b. Is there any nonrandom behavior in the billing process that would require management attention?
- 4) Because a telephone customer service center has experienced several problems, it has begun to analyze the data from customer complaints. The first step was to construct the following table. Use this data to build a Pareto chart to help identify the "vital few" problems. Process Failure Total Failures Person not available Incorrect information given Phone line busy Long delay Phone tree confusing People unfriendly 12 39 20 17 DFocus e4. Problem 8.29 The number of imperfections in bond paper produced by a paper mill is observed over a period of several days. Table 8-28 shows the area inspected and the number of imperfections for 25 samples. Construct a control chart for the number of imperfections per square meter. Revise the limits, if necessary, assuming special causes for the out-of-control points. TABLE 8-28 Area Area Sample Inspected (m?) Imperfections Sample Inspected (m²) Imperfections 1 150 6 14 300 8 2 100 8 15 300 12 3 200 5 16 200 6 4 150 4 17 150 4 250 10 18 200 7 6. 100 11 19 150 14 7 150 20 100 4 8 200 5 21 100 8 9 300 10 22 200 10 250 10 23 300 12 11 100 24 250 7 12 200 4 25 200 5 13 250 12REPOSTING QUESTION FOR PART 2 Consider the following table: SS DF MS Test Statistic Among Treatments 1664.4 Error ? 11 370.45 Total 16 Step 4 of 8: Calculate the value of the test statistic. Please round your answer to two decimal places. Step 5 of 8: What is the sum of squares of sample means about the grand mean? Please round your answer to two decimal places. Step 6 of 8: What is the variation of the individual measurements about their respective means? Please round your answer to two decimal places. Step 7 of 8: What is the critical value at the 0.05 level? Please round your answer to four decimal places, if necessary. Step 8 of 8: Is the test statistic significant at 0.05?
- For question 1 choose from the following: x bar-chart, c-chart, p-chart, or none of the about. 1. The process involving filling of a high value medicine into standard containers of 50 gms. 2. From a perspective of Statistical Process Control (SPC), a six-sigma process will have which of the following attributes? a) The USL and LSL will be separated by a distance of six sigma b) The process center will be aligned with the LSL c) The number of defects produced by the process will be 0.0018 parts per million d) All of the above 3. Which of the following statements depict the meaning of "total" in the term TQM? a) The total of all efforts put by the employees towards quality b) Total satisfaction of the customers about a company's products and services c) Ensuring every supplier follows quality practices in their work place d) Making quality happen everywhere in an organization by involving everyoneWhat trade-offs are involved in each of these decisions? a. Choosing between a large sample size and a smaller sample size.One of New England Air's top competitive priorities is on-time arrivals. Quality VP Clair Bond decided to personally monitor New England Air's performance. Each week for the past 30 weeks, Bond checked a random sample of 100 flight arrivals for on-time performance. Sample (week) Late Flights Sample (week) Late Flights1 3 16 32 3 17 23 11 18 64 2 19 35 1 20 26 2 21 17 5 22 228 7 23 39 11 24 110 0 25 211 3 26 112 5 27 013 2 28 114 2 29 415 7 30 5 a) The overall fraction of late flights is [ 0.04 ] enter your response here (enter your response as a real number rounded to two decimal places.) Using a 95% confidence level, the upper and lower control limits are: Upper control limit (UCLp)= enter your response here [ ? ] (enter your response as a fraction between 0 and 1, rounded to four decimal places) Lower control limit (LCLp) =…