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- Which is larger, Ws or Wq? Explain.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)NOTES Find the UCL and LCL .1000 +3 3 1000 (1-1000) 100
- 11. Select a fusible disconnect and the fuses for the application below. CNC Grinding Station Machine Operating Voltage - 600 VAC, 3-phase Spindle Motor FLA = 25 Amps Table Motor FLA = 10 Amps Fusible Disconnect Voltage Rating Fusible Disconnect Current Rating Number of Poles Fuse Voltage Rating Fuse Current Rating (VAC) (Amps) (VAC) (Amps)Which of the following QQ-plots has the best fit? (a) (c) Empirical quantiles Empirical quantiles (a) (b) (c) (d) 3.0 2.5 2.0 1.5 1.0 0.5 0.0 O 3.5 4.5 2.5 1.5 Ongயை Theoretical quantiles Po -0.5 0.0 0.5 1.0 1.5 -3 -2 -1 01 2 3 Theoretical quantiles (b) (d) Empirical quantiles Empirical quantiles 50 40 30 20 10 0 O COTON -10 -5 50 40 30 20 10 0 05 10 15 Theoretical quantiles 00 OOO O 0 5 10 15 20 Theoretical quantiles(4) The Great Northwest Outdoor Company is a catalog sales operation that specializes in outdoor recreational clothing. Demand for its items is very seasonal, peaking during the holiday season and during the spring. It has accumulated the following data for orders per season (quarter) during the past five years. Orders (1,000s) Year 1 Year 2 Year 3 Year 4 Year 5 Winter (Q 1) Spring (Q 2) Summer (Q 3) 18.6 18.1 22.4 23.2 24.5 23.5 24.7 28.8 27.6 31.0 20.4 19.5 21.0 24.4 23.7 Fall (Q 4) Total 41.9 46.3 45.5 47.1 52.8 104.4 108.6 117.7 122.3 132.0 Develop a seasonally adjusted forecast model for these order data. Forecast demand for each quarter for year 6, using the annual trend line as given: Y(t) = 96.33 + 6.89t (a) Find seasonal index for each quarter (b) Find seasonally adjusted demand forecast for each quarter for year 6 (c) Find MAD for seasonally adjusted forecasting for year 1 through 5.
- How are controls different for an A or C item in ABC Analysis?Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $0.5 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 18.10. LAST YEAR THIS YEAR QUANTITY (UNITS) QUANTITY QUARTER (UNITS) QUARTER I 11 I 16 II 17 II 23 III 25 III 27 IV 15 IV 18 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = b. Compute trend and seasonal factor from a linear regression line obtained with Excel. (Do not round intermediate calculations. Round your answers to 3 decimal places.) Period Trend Forecast Seasonal Factors Last Year II IV This Year II III IVPls help ASAP
- Design a study to identify what might be the probable ultimate cause/s of the decline in sales. For looking at the different causes, consider the box and arrow diagram given. Note the following things about the box and arrow diagram: If the arrow’s head is towards a box, that means the variable in the box (where the arrow’s head is) affects the variable in the box from where the arrow originated. E.g “Revenue/Sales” is affected by the “Number of shoppers/customers”. The boxes in grey are the variables you as a firm/owner can directly expect to affect which can further affect other variables in the model. E.g. You can incorporate training programs to improve “customer service” perceptions and, ultimately “Sales”. There is a hierarchy of the variables such that we have started from the broadest ones in thetop and then went to the finer one. The motivation for the research group here is to design a study for the store. This study is to find out the customer’s current perception…The following data are got from an investigation Groupl Group2 No. of items Mean S.D 50 75 181.5 3.0 179.0 3.6 Find out whether the two means differ significantly at 5% level of significance.How does the TPC's emphasis differ from the SPEC's?
