L. Houts Plastics is a large manufacturer of injection-molded plastics in North Carolina. An investigation of the company's manufacturing facility in Charlotte yields the information presented in the table below. How would the plant classify these items according to an ABCclassification system? (Round dollar volume to the nearest whole number and percentage of dollar volume to two decimal places.)Item number 2349 should be classified asItemCode1289Item number 8210 should be classified as2347234923632394239567827844821083109111L. Houts Plastics Charlotte Inventory LevelsAvg.Inventory (units)380Value($/unit)DollarVolume4.253004.001202.501.801.752.251.152.052.002.003.0070 60 35 20 12 10761,2003007105232514183,524% of DollarVolume34.058.512.980.650.70For the following three questions, consider only items 1289, 2349, and 8210 from the above table for relative classification (these are some of the items for which you computed the metrics).Based on the percentages of dollar volume, item number 1289 should be classified as0.40051

Item Code : 1289Dollar volume = Average inventory (units) x Value ( $/unit) = % of Dollar volume =…

Answered: L Houts Plastics is a large…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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L Houts Plastics is a large manufacturer of injection-molded plastics in North Carolina. An investigation of the company's manufacturing facility in Charlotte yields the information presented in the table below. How would the plant classify these items according to an ABC classification system? (Round dollar volume to the nearest whole number and percentage of dollar volume to two decimal places.) Item number 2349 should be classified as Item Code Item number 8210 should be classified as 1289 2347 2349 2363 2394 2395 6782 7844 8210 8310 9111 L. Houts Plastics Charlotte Inventory Levels Value Dollar ($/unit) Volume Avg. Inventory (units) 400 300 120 75 60 30 20 12 8 7 76 6 3.75 4.00 2.50 1.50 1.75 2.00 1.15 2.05 1.80 2.00 3.00 1,200 300 105 23 25 14 18 3,372 % of Dollar Volume 35.59 8.90 3.11 0.68 0.73 For the following three questions, consider only items 1289, 2349, and 8210 from the above table for relative classification (these are some of the items for which you computed the…
The table below shows a housing index that can be used to compare housing prices in different cities. Suppose you see a house valued at $220,000 in Spokane. Find the price of a comparable house in Palo Alto. Round to the nearest whole number as needed. O A. $47,014 O B. $1,029,487 OC. $1,132,436 City Index D. $926,538 Juneau, AK 100 Palo Alto, CA 365 Denver, CO 87 Spokane, WA 78 Boston, MA 182 Manhattan, NY 495 .....
The daily sales figures shown below have been recorded in a medium size insurance company
The national housing authority (NHA) wants to investigate the relationship between the size of houses and the rents paid by tenants in Marikina City. The NHA collected the following information on the sizes (in hundreds of square feet) for eight houses and the monthly rents
A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission has information on the seasonal catch (CATCH) in thousands of bass per square mile; the size of the lake in square miles (SIZE); the number of lakeshore residences per square mile (RESIDENCE); the number of living places for bass (i.e. weed beds, sunken trees, drop offs etc.) (STRUCTURE) and ACCESS a dummy variable equal to 1 if the lake has public access and 0 if not. What do you think are the expected signs of the regression coefficients? Justify your choice. Using R-studio, estimate the multiple linear regression model. ALL input codes and output tables should be provided. (b) Is the overall regression equation statistically significant at the 1% level? Justify your answer. Ensure that you state the null hypothesis(es) and the decision rule in your analysis. (c) Find and interpret a 95%…
A state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission has information on the seasonal catch (CATCH) in thousands of bass per square mile; the size of the lake in square miles (SIZE); the number of lakeshore residences per square mile (RESIDENCE); the number of living places for bass (i.e. weed beds, sunken trees, drop offs etc.) (STRUCTURE) and ACCESS a dummy variable equal to 1 if the lake has public access and 0 if not. САТCH RESIDENCE SIZE АСCESS STRUCTURE 3.6 92.2 0.21 81 0.8 86.7 0.30 26 2.5 80.2 0.31 52 2.9 87.2 0.40 64 1.4 64.9 0.44 40 0.9 90.1 0.56 22 3.2 60.7 0.78 80 2.7 50.9 1.21 60 2.2 86.1 0.34 1. 30 5.9 90.0 0.40 1 90 3.3 80.4 0.52 1. 74 2.9 75.0 0.66 1. 50 3.6 70.0 0.78 1 61 2.4 64.6 0.91 40 1.9 50.0 1.10 1. 22 2.0 50.0 1.24 1 50 1.9 51.2 1.47 1. 37 3.1 40.1 2.21 1 61 2.6 45.0 2.46 1. 39 3.4 50.0 2.80 1 53 (a) What do you think are the…
In a geographical location with a mid-year population of 1,000,000 (1 million) there were 1125 deaths during an entire year due to all causes combined.Out of those 1125 deaths, 185 deaths were due to causes related to pregnancy and 165 deaths were among children less than one-year old. There were 650 live births that year in that location. Please select the correct option(s) from the following. a. The maternal mortality ratio was 25 per 100 live births b. Infant mortality was 17 per 100,000live births c. The infant mortality was 254 per 1,000 live births d. The maternal mortality was 285 per 1,000 live births
If 30.1 out of every 100 pregnant women in Indiana deliver their babies by C-section, how many pregnant women out of 95,042 would be expected to deliver by C-section?
A. What was the population in 1850?
A. $9093.60 B.$7452.93 C.12,911.25 D. 8060.16
The first five rows of the BIRTHS data set are shown here. For GENDER 1 =male and 0 = female, WEIGHT is birth weight in grams, and CHARGES is in dollars. FACis facility, ADMIT and DISCHARGE are named days of the week. FAC INSURANCE GENDER ADMIT DISCHARGE WEIGHT CHARGES Albany Medicaid 0 FRI SUN 3500 13986 Albany Blue Cross 1 FRI SUN 3900 3633 Bellvue Blue Cross 0 WED THU 900 359091 Albany Self Pay 1 MON SAT 2800 8537 Olean Medicaid 1 FRI SUN 3700 3633 Describe the appropriate level of measure for each of the variables of the data. (Nominal,Ordinal, or Numerical - discrete, or Numerical - continuous).
According to the National Climatic Data Center, San Juan, Puerto Rico, experienced127 days of measurable precipitation(rain) in 1995. This was more days of rain themany of the other weather station reported that year, but it was not considered unusualfor San Juan. By comparison, the situation at Phoenix Arizona, reported 31 days ofprecipitation during the same year (again, not unusual).i. Suppose you were taking a one-day business trip to San Juan. What is theprobability that it will rain while you are there?ii. Suppose you decide instead to take your trip to Phoenix. What is theprobability that measurable precipitations will occur while you are there?

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