8.4 Price-Volume Pricing (Figures 8-23 to 8-25) The price elasticity for personal computers is estimated to be –2. For the PC manufacturer shown, evaluate the sales and profit impact of a 10% price increase and a 10% price decrease. For each pricing strategy, determine the break-even market share and discuss the profit risk associated with it.
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8.4 Price-Volume Pricing (Figures 8-23 to 8-25)
- The price elasticity for personal computers is estimated to be –2. For the PC manufacturer shown, evaluate the sales and profit impact of a 10% price increase and a 10% price decrease.
For each pricing strategy, determine the break-even market share and discuss the profit risk associated with it.
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- 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 RevenueSuppose we know that the price elasticity of demand for organic carrotsis −1.5. If a grocer decreases the price of organic carrots by 12%,what would we expect to happen to the quantity of organic carrotspurchased?(a) Decrease by 18%(b) Decrease by 6%(c) Increase by 6%(d) Increase by 8%(e) Increase by 18%What is total revenue if price and quantity and $5 and 20 units
- The chart below shows how annual electricity for an average Ontario household would vary with the price paid for electricity. Calculate the arc elasticity of demand for electricity for this average houschold. Also, in the final column, calculate the total revenue from sales of clectricity to this household. Price Quantity Demanded Kwh/year Total Revenue $/kwh Elasticity of Demand $0.25 1200 -0.36 $0.20 1300 $0.15 1400 $0.10 1500 $0.05 1600 Hint: The own price elasticity of demand is the percentage change in the quantity demanded divided by the percentage change in the price. What factors do you think influence the elasticity of demand for this household?TIME Qd Price 1 44 10 2 40 9 3 42 11 4 46 12 5 48 11 6 52 12 7 54 13 8 58 13 9 56 14 10 60 15 Estimate demand as a function of price and shoew the line of best fit What would happen to the demand if price is Taka 20?Question 6 [A new drug called 'LowG', taken together with any food, reduces the glycemic index (a measure of the impact of the food on blood sugar) by 50%. Annual demand for this new medication can be described by the following table:] Quantity (millions of milligrams) 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Price ($) 1000 900 800 700 600 500 400 300 200 100 0 a) [Rache, a pharmaceutical company, holds the patent on LowG and therefore is the only legal producer of the drug for the next 15 years. Calculate total revenue (TR) and marginal revenue (MR) for Rache at each price. Both Total Revenue (TR) and Marginal Revenue (MR) correctly calculated.
- e The following Markups are received at various steps along the chain of distribution for a jar of pasta sauce that sells at a retail price of $5.00. What does it cost the manufacturer to produce a jar of pasta sauce? Format: $X.XX Distribution Stage Manufacturer Distributor Wholesaler Retailer Markups 50% 50% 33% 40%(a)Diagrammatically show and explain how oil prices dropped as concerns over fuel demand in the near term in COVID-19 pandemic hit Europe and the United States. (b)Diagrammatically show and explain what happened to the oil market if the price remained unchanged despite the concerns over the fuel demand. (c)You sell two different goods: printers and toner cartridges. The price elasticity of demand for the printers is -3.4, and you earn a revenue of RM15,000 per month from the good. You earn a revenue of RM5,000 per month from the toner cartridges. The cross price elasticity of demand for both of the goods is -2.5. If you decide to decrease the price of the printers by 5%, calculate your new total revenues for…6. Elasticity and total revenue The following graph shows the daily demand curve for bikes in Denver. 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. 2 Total Revenue PRICE (Dollars per bike) 88NR S 89 88 89 O 300 275 18 27 35 45 54 53 72 QUANTITY (Bikes) 91 Demand 90 99 108