The table below is extracted from Goodland Republic Bureau of Statistics records for 2016 -2017. Use the information to answer the questions that follow. Item     Price 2017 (Base Year)   Price 2018 Production Price per Unit ($) Production Price per Unit ($) Rice (tons) 50,000 1.50 55,000 2.00 Wheat (tons) 100,000 2.00 98,000 2.50 Tractors mid-size (units) 50,000 23000.00 45,000 2,450.00 Cotton (tons) 120,000 100.00 110,000 120.00 Used cars 5,000 5,000.00 6,000 7,000.00 Manufacture garments (tons) 150,000 50.00 145,000 70.00 Eggs (trays) 2,000 2.50 2,300 3.50 Coca Cola (litres) 6,000 0.80 6,500 1.20 Pepsi Cola (litres) 700 1.10 850 1.50 Beef (tons) 5,000 6.50 4,800 8.50 Second Hand Clothes (tons) 500 15.00 450 25.00 Alcoholic Beverages (litres) 500 3.25 600 3.75 Milk (litres) 7,000 2.30 7,500 2.50 Examine the status of the economic welfare in Goodland Republic in 2018 based on your GDP deflator, nominal GDP and Real GDP. Also, explain the reasons why it is necessary to calculate real GDP. Show your work.

Circle the letter associated with the correct answer and write the correct letter on the line (and use corresponding online answer key to submit your answers..make sure you read the associated questions and responses). The following data for gasoline sales and prices at a Slurpico Station in West Valley, Washington are from the United States Department of Energy. Prices are in dollars and sales are in gallons per day and driven by the quantity of gallons demanded: Sales 330 340 350 360 370 380 390 400 410 420 430 Price 3.50 3.25 3.00 2.75 2.50 2.25 2.00 1.75 1.50 1.25 1.00 Compute the price elasticity of demand when the price increases from $3.00 to $3.25 and determine what type of product gasoline is: (hint: use the midpoint method) а. Formula Calculation Answer Price elasticity of demand for gasoline is Compute the price elasticity of demand when the price increases from $1.25 to $1.50 and determine what type of product gasoline is: (hint: use the midpoint method) b. Formula…

FloorArea (Sq.Ft.) Offices Entrances Age AssessedValue ($'000) 4790 4 2 8 1796 4720 3 2 12 1544 5940 4 2 2 2094 5720 4 2 34 1968 3660 3 2 38 1567 5000 4 2 31 1878 2990 2 1 19 949 2610 2 1 48 910 5650 4 2 42 1774 3570 2 1 4 1187 2930 3 2 15 1113 1280 2 1 31 671 4880 3 2 42 1678 1620 1 2 35 710 1820 2 1 17 678 4530 2 2 5 1585 2570 2 1 13 842 4690 2 2 45 1539 1280 1 1 45 433 4100 3 1 27 1268 3530 2 2 41 1251 3660 2 2 33 1094 1110 1 2 50 638 2670 2 2 39 999 1100 1 1 20 653 5810 4 3 17 1914 2560 2 2 24 772 2340 3 1 5 890 3690 2 2 15 1282 3580 3 2 27 1264 3610 2 1 8 1162 3960 3 2 17 1447   What is the final model if we only use FloorArea and Offices as predictors?

UNITS OF VARIABLE TOTAL MARGINAL AVERAGE PRICE OF INPUT PRODUCT PRODUCT PRODUCT INPUT TOTAL VARIABLE COST AVERAGE VARIABLE COST TOTAL FIXED TOTAL AVERAGE TOTAL MARGINAL COST COST COST COST 012345678 0 $1 $2 6 $1 2 15 $1 27 $1 37 $1 45 $1 50 $1 52 $1 50 $1 ଖ ଖ ଖ ଖ ଖ ଖ ଖ ଖ ଖ $2 $2 $2 $2 $2 $2 $2 $2

6. Elasticity and total revenue The following graph shows the daily demand curve for bikes in Houston. Use the green rectangle (triangle symbols) to compute total revenue at various prices along the demand curve. Note: You will not be graded on any changes made to this graph. PRICE (Dollars per bike) 300 275 ) 250 225 175 150 125 100 75 50 25 0 0 + 6 12 18 24 30 36 42 48 QUANTITY (B) Demand 54 60 66 72 Total Revenue

Price ($ per ton) 280 300 320 340 360 380 Quantity Supplied (million tons) 8.5 9.0 9.5 10.0 10.5 11.0 Quantity Demanded (million tons) 12.5 11.0 9.5 8.0 6.5 5.0

The following graph illustrates the weekly demand curve for motorized scooters in Madison. Use the green rectangle (triangle symbols) to compute total revenue at various prices along the demand curve. Note: You will not be graded on any changes made to this graph. PRICE (Dollars per scooter) 325 300 275 250 225 200 175 150 125 100 75 50 25 0 0 10 A + 20 30 X B Demand 40 50 60 70 80 QUANTITY (Scooters) 90 100 110 120 130 Total Revenue ?

Jadual 1 menurnfukkan beberapa data harga dan kuantiti untuk sebuah ekonomi zederhana jang menghasilkan darang dan perkhidmatan derikut.) Table 1: Price and quantity for three types of product [Jadual I: Harga dan kuantiti sontuk tiga jenis produk) Product [Produk) Year 2019 [Tahun 20191 Price (RM) [Harga (RM) 1.25 Year 2017 Year 2018 [Tahun 20181 Price (RM) Kuanti) (RM) Kuanttij [Harga (RAM)) 1 [Tahun 2017) Quantity Quantity Kuantitij Price Quantity [Harga (RM)) A 180 200 200 B 90 75 90 100 100 120 0.6 675 0.5 600 0.5 630 (1) Compute the values of nominal GDP in 2017, 2018 and 2019. [Kirakan nilai-nilai KDNK nominal pada 2017, 2016 dan 2019) (6 Marks/ Markah) Compute the values of real GDP and GDP deflator in 2018 and 2019 (using 2017 as the base year). [Kirakan nilai-nilat KDNK zebenar dan KDNK pendeflari pada 2018 dan 2019 (menggunakan tahun azas 2017)) (5 Marks/ Markak) (iii) Compute the percentage change in the real GDP in 2018 and 2019 from the preceding year. (Kinatan nerat…

Task: Attempt ALL questions (Show all calculations / working formula) Question 1. You are asked to advice on the relationship between two products. The only information you know is that if you increase the price of your product from OMR 1.600 to OMR 2.000, the demand for your competitors' product increases from 1,000 units to 1,400. (a) Name the economic tool you will use to help your advice? (02 marks) (b) What is the relationship between yours and your competitor's product? Show all working. marks) (02 Question 2: Calculate the missing values in the following table. Show all formula and calculations in detail. (Answers not showing the details of calculations & formula will be awarded only fifty percent marks for this question.) (10 marks) Output (Units) TC (OMR)AC (OMR) MC (OMR) 55 1 85 2 110 3 130 14 40 42 16 280 17 90 8 110 19 610 10 150

CIS 360 - Business Database Concepts – DB Design The following spreadsheet is a sample that is currently being used to track company data. However, employees have been complaining about the amount of maintenance needed to sustain the data. EMP_NAME PROJ_NUM PROJ_NAME EMP_NUM 1 Hurricane JOB_CODE JOB_CHG_HOUR PROJ_HOURS EMP_PHONE 101 John D. Newson EE 85.00 13.3 653-234-3245 1 Hurricane 105 David F. Schwann CT 60.00 16.2 653-234-1123 1 Hurricane 110 Anne R. Ramoras CT 60.00 14.3 615-233-5568 2 Coast 101 John D. Newson EE 85.00 19.8 653-234-3254 2 Coast 108 June H. Sattlemeir EE 85.00 17.5 905-554-7812 3 Satellite 3 Satellite 3 Satelite 110 Anne R. Ramoras CT 62.00 11.6 615-233-5568 105 David F. Schwann CT 26.00 23.4 653-234-1123 123 Mary D. Chen EE 85.00 19.1 615-233-5432 3 Satellite 112 Allecia R. Smith BE 85.00 20.7 615-678-6879 1. List the issues that will arise by using this as a way to store and maintain company data. Use the actual data as examples in your explanation. 2. Create a…