TABLE 6–11 Actual Sales Data Solution to Problem 6 W1 = 3 W2 = 5 W3 = 9 Actual Sales Forecast Weighted Moving Average Absolute Time Period ($00) Deviation 445 478 525 660 570 600 632 648 690 725 1 2 162.94 18.18 11.47 30.24 4. 497.06 588.18 588.53 601.76 611.65 634.82 667.41 701.12 732.06 36.35 55.18 10 11 12 57.59 48.88 750 Sum 420.82 in MAD = 52.60

TABLE 6–11 Actual Sales Data Solution to Problem 6 W1 = 3 W2 = 5 W3 = 9 Actual Sales Forecast Weighted Moving Average Absolute Time Period ($00) Deviation 445 478 525 660 570 600 632 648 690 725 1 2 162.94 18.18 11.47 30.24 4. 497.06 588.18 588.53 601.76 611.65 634.82 667.41 701.12 732.06 36.35 55.18 10 11 12 57.59 48.88 750 Sum 420.82 in MAD = 52.60

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter6: Applications Of The Derivative

Section6.CR: Chapter 6 Review

Problem 33CR

See similar textbooks

Similar questions

Table 1. Violent victimization, by type of crime, 2016, and 2017 Appendix table 3. Standard errors for table 1: Violent victimization, by type of crime, 2016, and 2017 From the estimation of the number of Rape/sexual assault (298,410) in 2016 at 95% CI, what is the lower limit? (Round off to one decimal place if necessary)
1. t=1.00000 2. t=0.50000 3. t=0.25000 4. t=0.10000 5. t=0.01000
Suppose seafood price and quantity data for the years 2000 and 2009 follow. Use 2000 as the base period. 2009 Price ($/lb) 2000 2000 Seafood Qty. (Ib) Price ($/lb) Halibut 75,190 1.91 2.23 Lobster 83,180 3.72 3.09 Tuna 50,779 1.87 1.97 (a) Compute the index number (price relative) for each type of seafood. (Round your answers to one decimal place.) Seafood Price Relative Halibut Lobster Tuna (b) Compute a weighted aggregate price index for the seafood catch. (Round your answer to one decimal place.) I 2009 Comment on the change in seafood prices over the nine-year period. (Enter your percentage as a positive value. Round your answer to one decimal place.) Seafood prices have -Select- by % over the 9-year period according to the index.
Illustration 13. Compute general fertility rate and gross reproduction rate from the data given below : Age group of child- bearing females nojslugo9 20-24 45-49 15-19 25-29 30-34 35-39 40-44 10000010 000 000 15.8 No. of women ('000) 16.0 16.4 15.2 14.8 15.0 14.5 Total births 260 2244 1894 e1320 916 280 145 Assume that the proportion of female births is 46-2 per cent.
The following table shows a sample of room rates for a 100 room resort hotel in Nova Scotia for the time period Jan. 1 to Dec. 2003. Note that 1/1-7/3 means January 1 to March 7, 2003. Be sure to scroll down to see the bottom of the rate table. 2003 Room Rates A Oceanfront 1 double bed Oceanfront 2 double beds Oceanfront Effic, 2 double beds 2 room suite 3 double beds Oceanfront Suite 3 double beds Extra Person B C D E 1/1 - 7/3 75 85 105 120 140 5 8/3 30/3 125 135 155 175 200 8 31/3 - 31/5 85 115 130 150 5 1/6 -30/6 100 110 130 150 175 5 1/7 2/9 -1/9 -8/10 150 95 180 200 225 10 105 125 140 165 7 9/10 -1/12 85 95 115 130 5 2/12 -20/12 75 85 105 120 140 5 21/12 - 31/12 125 135 155 175 200 10 IMPORTANT: Please omit the dollar signs in all answers. Note: Suites have 3 beds. a. For the 9 time periods, what was the mean extra person rate? b. (i) This hotel has 20 type A rooms, 15 type B, 30 type C, 25 type D and the remainder are type E. If the hotel was fully booked (with no extra people…
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.)
. If a startup churns 5.6% of its customers each month, then what is the average lifetime of a customer in months? 15.9 (rounded) 17.9 (rounded) 19.9 (rounded)
4. The following table provides the average price of Regular Grade of gasoline for 4 years. Use 2015 as the reference value, complete the table by calculating the price index for each year. Show all your calculation in the space provided. Date 2013 2014 2015 2016 Regular Grade Gasoline Prices Price $3.505 $3.358 $2.429 $2.143 Price Index
Table 2 shows the statistics for bed count and inpatient service days that Manatee Bay Health Center reported for last year (a non-leap year). The hospital chief operations officer (COO) is meeting with the board of directors next Tuesday for a quarterly meeting. He asked you to figure the hospital's occupancy ratio for the past year. You have been given the statistics in Table 2 to calculate the annual percentage of occupancy for the past year's operations. Table 2 – Manatee Bay Health Center Hospital Bed Count and Inpatient Service Days Manatee Bay Health CenterHospital Bed Count and Inpatient Service Days Time Period Bed Count Inpatient Service Days January 1 – May 31 200…
Real wage is a wage deflated by the current consumer price index. It gives information on how much current wage compares to the wage of given base year period. Real wage is obtained by dividing the nominal wage by the current Consumer Price Index (CPI) of a given month multiplied by 100. Table 1 below presents the real wage and nominal wage of non-agriculture workers in the Philippines as of December 2019 by region. Referring to the data, how many regions are below the 4th decile of the real wage?A. 4B. 5C. 6D. 7Referring to the data, how many regions are above the 80th percentile of the nominal wage?A. 4B. 5C. 6D. 7
Nonfatal accidents during January 2019 to October 2019 are listed in Table 4. The traffic department assigned a task to data analyst whether the monthly totals of nonfatal accidents are decreasing (increasing). Table 4.Shows the list of the nonfatal accidents Month 1 2 3 4 5 6 7 8 9 10 Nonfatal 454 352 | 434 492| 511 555 448 532 515 477 (a) Calculate coefficient of determination between the number of months and the nonfatal accidents. (b) Interpret (in context) the value of the coefficient of determination. What do your analysis show about the increase of decrease of nonfatal accidents?
Given the following information. Commodities | Current year Price (in Rs.) | Base year Price (in Rs.) | Weights A 52.0 42.5 30 37.5 29.5 40 C 19.5 21.5 15 81.0 88.5 15 Also, EW = 100, E PW = 11489, where P = (P,/P) × 100. An index number for the current year using the method of weighted average of price relatives is : %3D (А) 124. 89 (B) 114.89 (С) 134.89 (D) 144.89.