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- Frank’s Fabricators has collected the following information to develop a standard time for producing their high-volume Navigator III, a universal remote control. All of the times are in minutes. Element (in Minutes) Observations 1 2 3 4 5 6 Cycle 1 1.15 3.07 0.94 1.31 1.49 1.82 Cycle 2 1.13 0.91 1.42 1.70 1.81 Cycle 3 1.17 3.23 0.85 1.26 1.58 1.82 Cycle 4 1.19 0.93 1.37 1.54 1.80 Cycle 5 1.09 3.16 0.93 1.40 1.65 1.83 Cycle 6 1.14 1.01 1.44 1.63 1.88 Rating Factor 1.15 1.20 1.10 1.20 1.15 1.30 Frequency 1.00 0.50 1.0 1.0 1.0 1.0 Calculate the mean observed time for each element (Round your answers to 3 decimal places, e.g. 5.123) Element Mean Observed Time 1 2 3 4 5 6Kaitlyn measures the upload speed in megabits per second of her home broadband internet connection during peak hours and off-peak hours. The results are provided in the accompanying table. Peak Off-Peak 5.83 5.14 6.05 6.80 7.14 6.98 3.54 5.77 5.45 7.27 5.90 6.62 5.81 6.19 4.82 6.08 6.37 6.59 4.65 5.58 5.30 7.41 6.48 6.26 5.96 6.37 5.79 6.31 6.84 6.55 5.06 4.95 5.61 7.03 6.45 6.77 Examine the results of Kaitlyn's test to determine the statements that compare the medians and interquartile ranges of the data sets to each other in terms of this situation. Select the two correct answers. The median upload speed during peak hours is 5.905 megabits per second, which is less than the median upload speed during off-peak hours, 7.005 megabits per second. The upload speeds during peak hours are slower on average compared to off-peak times. The median upload speed during peak hours is 6.37 megabits per second, which is greater than the median upload speed during…Given the number of incidents between 1 to 7 October 2021 in the table below: Date Incidents 1/10/2021 99430 2/10/2021 101786 3/10/2021 103843 4/10/2021 106318 5/10/2021 109804 6/10/2021 113381 7/10/2021 116864 Calculate the MAPE only for these 7 days and compare the forecasting accuracy of the model for this period with its fitting accuracy during the observation period.
- Suppose a study of speeding violations and drivers who use cell phones produced the following fictional data: Speeding violation in thelast year No speeding violation in the last year Total Uses cell phone while driving 25 280 305 Does not use cell phone while driving 45 405 450 Total 70 685 755 Calculate P(Driver had no violation in the last year AND was a cell phone user). Round your answer to four decimal places.Use the following table to answer the question. Periods 5% 6% 7% 10% 1 0.95238 0.94340 0.93458 0.90909 2 0.90703 0.89000 0.87344 0.82645 3 0.86384 0.83962 0.81630 0.75132 4 0.82270 0.79209 0.76290 0.68301 5 0.78353 0.74726 0.71299 0.62092 6 0.74622 0.70496 0.66634 0.56447 7 0.71068 0.66506 0.62275 0.51316 8 0.67684 0.62741 0.58201 0.46651 9 0.64461 0.59190 0.54393 0.42410 10 0.61391 0.55840 0.50835 0.38554 What is the present value of $15,000 to be received in 10 years, if the market rate is 5% compounded annually? Round your answer to two decimal places.$fill in the blank 1I need help answering a-1 and a-2 Miles traveled since the last maintanence: Miles traveled since the last maintenance 11973 11969 11967 11948 11925 11922 11896 11883 11837 11814 11800 11798 11789 11782 11781 11778 11758 11757 11707 11704 11698 11691 11668 11662 11615 11610 11576 11533 11518 11462 11461 11418 11359 11358 11344 11342 11336 11248 11231 11222 11168 11148 11127 11112 11100 11048 11018 11003 10945 10911 10902 10802 10802 10760 10759 10755 10726 10724 10674 10662 10633 10591 10551 10518 10473 10355 10344 10315 10235 10227 10210 10209 10167 10140 10128 10095 10081 10075 10055 10000
- a. Compute a weighted 3-month moving average forecast for months 4 through 9. Assign weights 5,3, and 1 to the months in sequence starting with the most recent month. Show your complete and step by step solution and answer.The MAD for the forecast developed using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 is what?John Kittle, an independent insurance agent, uses a five-year moving average to forecast the number of claims made in a single year for one of the large insurance companies he sells for. He has just discovered that a clerk in his employ incorrectly entered the number of claims made four years ago as 1,400 when it should have been 1,200.a. What adjustment should Mr. Kittle make in next year’s forecast to take into account the corrected value of the number of claims four years ago?b. Suppose that Mr. Kittle used simple exponential smoothing with a = .2instead of moving averages to determine his forecast. What adjustment is now required in next year’s forecast? (Note that you do not need to know the value of the forecast for next year in order to solve this problem.)
- Use MINITAB or some other computer software toconstruct a stem-and-leaf display for the following data representing the time to make coke (in hours) in succes-sive runs of a coking oven. 7.8 9.2 6.4 8.2 7.6 5.9 7.4 7.1 6.7 8.510.1 8.6 7.7 5.9 9.3 6.4 6.8 7.9 7.2 10.26.9 7.4 7.8 6.6 8.1 9.5 6.4 7.6 8.4 9.2part C D 33000331 UPH-1 St. Lawrence dolomite 618 0.05 2.69 2.74 2.83 48000168 Langer Platteville dolomite 127.8 0.06 2.69 2.75 2.86 52000415 3-21-13z1 Galena dolomite 575 0.04 2.72 2.76 2.83 52000415 3-21-13z1 Platteville dolomite 740 0.05 2.7 2.75 2.85 60000086 VD #1 Silurian dolomite 684 0.03 2.75 2.78 2.83 60000086 VD #1 Galena dolomite 1070 0.05 2.69 2.74 2.84 60000086 VD #1 Platteville dolomite 1142 0.02 2.77 2.79 2.83 13001466 NS-2 Tunnel City sandstone 60.1 0.14 2.41 2.54 2.79 13001466 NS-2 Tunnel City sandstone 60.2 0.28 1.93 2.21 2.67 13001466 NS-2 Tunnel City sandstone 118.3 0.3 1.88 2.18 2.7 33000331 UPH-1 St. Peter sandstone 222 0.22 2.06 2.28 2.65 33000331 UPH-1 Jordan sandstone 531 0.21 2.09 2.3 2.65 33000331 UPH-1 Tunnel City sandstone 644 0.18 2.22 2.4 2.7 33000331 UPH-1 Wonewoc sandstone 735 0.2 2.12 2.32 2.65 33000331 UPH-1 Wonewoc sandstone 840 0.27 1.93 2.2 2.66 33000331 UPH-1 Mt. Simon sandstone 927 0.18 2.31 2.49 2.81…The Carbondale Hospital is considering the purchase of a new ambulance. The decision will rest partly on the anticipated mileage to be driven next year. The miles driven during the past 5 years are as follows: Year 1 2 3 4 5Mileage 3,050 3,950 3,450 3,850 3,800 a) Using a 2-year moving average, the forecast for year 6 = miles (round your response to the nearest whole number).