Example 1 The total cost of 5 textbooks and 4 pens is $ 32.00; the total cost of 6 other books of the same text and 3 pens is $ 33.00. Find the cost of each item. Solution: Let x = the cost of a book in dollars, y = the cost of a pen in dollars. Depending on the problem we obtain the two equations: 5x+4y =32 6x+3y=33 Example 2 I have $ 120.00 in 33 tickets at $ 5 and $ 2. How many tickets are $ 5 and how many $ 2? Solution: Let x = the number of tickets of $ 2 and y = the number of tickets $ 5. Under the terms: x + y = 33. Depending on the problem we obtain the two equations: x+y=33 2x+5y=133

The typical consumer's food basket in the base year 2015 is as follows: 30 chickens at $4 each 10 hams at $5 each 10 steaks at $8 each a chicken feed shortage causes the price of chickens to rise to $5.00 each in the year 2016. hams rise to $7.00 each, and the price of steaks is unchanged. a. calculate the change in the "cost-of-eating" index between 2015 and 2016. year cost of the basket 2015 $ 2016 $ instructions: enter your responses rounded to one decimal place. the official cost-of-eating index has by %. b. suppose that consumers are completely indifferent between two chickens and one ham. for this example, how large is the substitution bias in the official "cost-of-eating" index? the in the cost-of-eating index is %. the of inflation in the cost of eating reflects substitution bias.

Which of the following best explains why large companies have an advantage over smaller companies? a. economies of scale make it possible to offer lower prices. b. the production possibilities frontier is wider for a larger company. c. decreasing marginal utility enables more efficient production. d. increasing the scale of production leads to a reduction in inputs.2b2t

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .