Mary Beth Marrs, the manager of an apartment complex, feels overwhelmed by the number of complaints she is receiving. Click the icon to view the check sheet she has kept for the past 12 weeks. Using this information, choose the correct Pareto chart below. O A. Frequency (number 50 D 40 30- 20- 10- 0- P TG E Parking/Drives (D) | Pool (P) Tenant issues (T) B. Frequency (number 50- 40 30- 20- 10- 0 D P G T E Parking/Drives (D) Pool (P) Grounds (G) Tenant issues (T) Electrical (E) Grounds (G) Electrical (E) The Pareto chart indicates that most of the complaints,%, were caused by C. Frequency (number 50 P 40- 30- 20- 10- 0- TD E Pool (P) Grounds (G) Tenant issues (T) Parking/Drives (D) Electrical (E) D. Frequency (number 50- 40 30- 20- 10- 0- D PT I Parking/Drives (D) Grounds (G) Pool (P) Tenant issues (T) Electrical (E) ‒‒‒‒ (round your response to one decimal place).
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- Figure shows summer air visibility measurements for Denver, Colorado. The acceptable visibility standard is 100, with readings above 100 indicating clean air and good visibility, and readings below 100 indicating temperature inversions caused by forest fires, volcanic eruptions, or collisions with comets.a. Is a trend evident in the data? Which time-series techniques might be appropriate for estimating the average of these data?b. A medical center for asthma and respiratory diseases located in Denver has great demand for its services when air quality is poor. If you were in charge of developing a short-term (say, 3-day) forecast of visibility, which causal factor(s) would you analyze? In other words, which external factors hold the potential to significantly affect visibility in the short term?c. Tourism, an important factor in Denver’s economy, is affected by the city’s image. Air quality, as measured by visibility, affects the city’s image. If you were responsible for development of…12.2 The manager of the I-85 Carpet outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlets many competitors. The manager has collected the following demand data for the past 8 months. Month 1 2 3 4 5 6 7 8 Demand for Soft Shag Carpet (1000 yd) 5 10 6 8 14 10 9 12 a. Compute a three-month moving average forecast for months 4 through 9.A Lighting company seeks to study the percentage of the defective glass shells being manufactured. Theoretically, the percentage of defectives is dependent on temperature, humidity, and the level of artisan expertise. Complete historical data are available for the following variables on a daily basis for a year.a. Temperature (high, normal, low)b. Humidity (high, normal, low)c. Artisan expertise (expert, average, mediocre)Some experts feel that defectives also depend on productive supervisors. However, data on supervisors in charge are available for only 242 of the 365 days. How should you conduct this study?
- FC.51 Madison Memorial Hopsital is considering purchasing a new ambulance. The decision will rest partly on the anticipated mileage to be driven this year (2023). The miles driven during the past eight years are as follows: Year Miles Driven 2015 2016 2017 2018 2019 2020 2021 2022 3,240 1,211 3,208 3,253 2,169 2,224 1,162 1,074 Using a 4-year moving average, what would be the forecast for the miles to be driven in 2023? (Display your answer to the nearest whole number.) Number Using a 4-year weighted moving average (with last year's weight as 0.5, two years previous as 0.2; three years previous as 0.2, and four years previous as 0.1) what is the forecast for 2023? (Display your answer to the nearest whole number.) Number12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlet's many competitors. The manager has collected the following demand data for the past eight months: Demand for Soft Shag Carpet (1000 yd) Month ALE ni bno 1 10 6. 4. 8 14 6. 10 7 9. 8. 12 a. Compute a three-month moving average forecast for months 4 through 9. b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with the most recent month. c. Compare the two forecasts using MAD. Which forecast appears to be more accurate? 3.Zeba Cafe is the most famous coffeeshop in town and located in the town center wheremost other attractions are for the city residents. Zeba is considering introducing a newseasonal flavored coffee for winter. Your Manager of Surveys has suggested thefollowing four methods for selecting a sample to determine customer demand for thisproduct in the small town of 6,000 people: a. Method A Survey the first 100 people in line on a weekday for the noon showingof the newest hit movie at the town movie theater.b. Method B Survey every 5th person arriving at the town playground on aweekday afternoon until 100 people are questioned.c. Method C Randomly select 50 citizens from registered residents in the town hall.Contact each person and arrange to survey him or her.d. Method D Randomly select 250 citizens from registered residents in the townhall. Contact each person and arrange to survey him or her.Explain the pros and cons of each of these sampling methods. Then, at the bottom, select the…
- 12.2. The manager of the I-85 Carpet Outlet needs to be able to forecast accurately the demand for Soft Shag carpet (its biggest seller). If the manager does not order enough carpet from the carpet mill, customers will buy their carpets from one of the outlet’s many competitors. The manager has collected the following demand data for the past eight months: Month Demand for Soft Shag Carpet (1000 yd)1 52 103 64 85 146 107 98 12 a. Compute a three-month moving average forecast for months 4 through 9. b. Compute a weighted three-month moving average forecast for months 4 through 9. Assign weights of .55, .33, and .12 to the months in sequence, starting with…b. The mean absolute deviation as of the end of week 10 is___ rentals enter your response here. (Enter your response rounded to two decimal places.)Day 2 Time of day Morning Afternoon Evening Morning Afternoon Evening Morning Afternoon Evening Demand (in thousands) 42 75 125 35 88 110 52 65 155 What is the seasonal index for evening?
- 15. The Vision Hospital is considering the purchase of a new Advance Scan machine. The decision will rest partly on the anticipate patients in the coming months. The numbers of patents during the past years are as follows: Year Number of patents(Actual) 1600 2016 2017 2200 2018 2600 2019 2800 | 2020 3100 Compute the forecast for the year 2021 using exponential smoothing with a forecast for the year 2016 of 1500 and a = .3YEAR 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 ARRIVAL ('000) 35.5 28 30.3 36 49.5 56 72.4 71 79.3 96 DELAYED RATE 4.2 3.8 3.8 3.5 4.6 4.5 4.6 4.6 4.7 4.5 A marketing analyst for Rockstar Travel Company. He wants to analyze the trend of international tourist arrival in KL by using international tourist arrival rate and flight delayed rate over the past 10 years. Propose ONE (1) forecasting model that can be used by Alvin. Why would you proposed that particular model? Develop the forecasting model that you suggest in (i). Briefly explain your model.The table shows the values found in the error analysis. What method of forecasting would be best to use? What is the forecasted value? MSE forecast for week 13 Time Series 1.08 14.76 3-week MA 3.04 13.67 exp smoothing 11.04 9.5 Group of answer choices A.) Time Series, forecasted value = 14.76 B.) 3-week MA, forecasted value = 13.67 C.) exp smoothing, forecasted value = 9.5 D.) Time Series, forecasted value = 1.08 E.) 3-week MA, forecasted value = 3.04 F.) exp smoothing, forecasted value = 11.04