Volumetric Glassware: Utility and Calibration (Dry Lab) Table B1: Calculation of a 100-mL Volumetric Flask. temperature of the Distilled H2O (°C) 27 density of distilled H2O at calibration temperature mass (g) of volumetric flask + distilled H₂O Trial 1 198.5893 Trial 2 198.6114 Trial 3 mass (g) of dry volumetric flask 98.6563 98.7503 198.6001 98.7145 mass (g) of distilled H₂O m true g calculated volume of water dispensed, cm³ corrected volume, V20 °c, cm³ average corrected volume, V20 °C, cm³ standard deviation (4 sig figs) %RSD (2 sig figs)
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- 4. 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 12Production phase After the pre-production phase, the product entered the production phase without introducing any changes in the process. Since it seemed to be stable SPC was not performed for several months, with process stability and variability being assessed by the level of nonconformities it it produced. However, after a time, an increasing number of customer complaints due to products supplied outside the specification/. The Quality Engineer decided to take 20 samples from the process with regular spacing between samples. Each sample is made up of 3 parts. The data obtained for the highlighted dimension samples are presented in Table 2 below: measurements in mm for critical sample dimension number 1 2 3 4 5 6 7 8 9 Observations 2 3 50.767 1 50.972 50.785 50.956 50.97 50.914 51.066 50.933 51.086 50.917 51.081 51.092 50.948 50.828 51.054 50.859 51.083 50.789 50.984 50.961 50.943 51.013 51.02 50.734 50.898 50.956 50.885 51.004 50.984 50.839 Table 2: Measurements in mm for critical…The Healthy Chocolate Company makes a variety of chocolate candles, including a 12-ounce chocolate bar (340 grams) and a box of six 1-ounce chocolate bars (170 grams). a.Specifications for the 12-ounce bar are 322 grams to 358 grams. What is the largest standard deviation (In grams) that the machine that fills the bar molds can have and still be considered capable if the average fill is 340 grams? (Round your intermediate calculations to 2 decimal places and final answer to 3 decimal places.) Standard deviation b.The machine that filles the bar molds for the 6-ounce bars has a standard deviation of .84 grams. The filling machine is set to deliver an average of 1.04 ounces per bar. Specifications for the six-bar box are 150 to 190 grams per box. Is the process capable? Hint: The variance for the box is equal to six times the bar variance. Convert all calculations Into grams. O Yes O No grams c.What is the lowest setting in ounces for the filling machine that will provide capability in…
- Explain the Cronbach’s Alpha measurement and its internal consistency?3.6. One of the stages in the process of making denim cloth at the Southern Mills Company is to spin cotton yarn onto spindles for subse- quent use in the weaving process. Occasionally the yarn breaks during the spinning process, and an operator ties it back together. Some num- ber of breaks is considered normal; however, too many breaks might mean that the yarn is of poor quality. In order to monitor this process, the quality-control manager randomly selects a spinning machine each hour and checks the number of breaks during a 15-minute period. Following is a summary of the observations for the past 20 hours: Number of Number of Sample Breaks Sample Breaks 1 3 11 3 2 12 4 3 4 13 4 1 14 7 5 15 8. 16 7 17 4 18 7. 8 19 8 9. 20 6. 10 Construct a c-chart using 3ơ limits for this process and indicate if the process was out of control at any time. ohoin when orders come into 3. 6a) Multi-phase sampling with practical example
- 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]BlueMoon Bottlers has a bottle-filling process with a mean value of 64 ounces and a standard deviation of 8 ounces. Suppose the upper and lower specification limits are 71 and 57 ounces, respectively. What is the process capability index of this process? (Note: You MUST show every single step and detailed derivation for full credit)The Minnow County Highway Safety Department monitors accidents at the intersection of Routes 123and 14. Accidents at the intersection have averaged three per month.a. Which type of control chart should be used? Construct a control chart with three-sigma controllimits.b. Last month, seven accidents occurred at the intersection. Is this sufficient evidence to justify aclaim that something has changed at the intersection?
- In a sausage factory, quality managers are studying the compliance of the sausages with the requirements. Any sausage having pin holes, air pockets, deformation or breakage in its casings is counted as defective and total number of such defective sausages alone is noted in each shift. The following data represents the number of defective sausages in samples of 200 sausages taken from 10 shifts. Sample Defectives Percent Defective 1 40 20% 2 28 14% 3 15 8% 4 23 (a) 5 20 10% 6 21 11% 7 19 10% 8 15 8% 9 16 8% 10 17 9% Calculate the value for (a) in the table above. Calculate p-bar based on the samples above. What is the UCL and LCL for a p chart based on the data provided and a desired control level of 99.74%? Use your control limits from part b along with the data provided to draw a p-chart. Is the process in control? Why or why not? If not in control, suggest some potential reasons.S Book Hint Print eferences Problem 13-2 (Algo) A metal fabricator produces connecting rods with an outer diameter that has a 1 ± 0.02 inch specification. A machine operator takes several sample measurements over time and determines the sample mean outer diameter to be 1.004 inches with a standard deviation of 0.006 inch. Calculate the process capability index for this example. (Round your answer to 3 decimal places.) Process capability index4. The meaning of quality management has evolved greatly over the past century. Which of the following statements best exemplifies OA. Production of parts within control limits and the maintenance of process output in a state of statistical control as measured by statistical pr OB. The collaboration of all functional disciplines to design and offer quality products and services OC. Inspection of every item produced to ensure that exact customer specifications are met OD. Continuous improvement, competitive advantage, and meeting or exceeding customer requirements Mark for review (Will be highlighted on the review page) >