3-4 sentences to answer each question. 1. Why is it necessary to know fixed, variable, and total costs to determine marginal cost?

2. How does prices help us allocate goods and services?

3. What alternative exist to the price system? What challenges does this alternative present?

4. What is the result of a price that is set above the equilibrium price? Below the equilibrium price?

5. How are quantity supplied and quantity demanded affected by changes in prices? Give an example of how these quantities might change if the price decreases?​

Ail industries uses activity-based costing to assist management in setting prices for the company's three major product lines. the following information is available: activity cost pool estimated overhead expected use of cost driver per activity cutting $1,000,000 25,000 labor hours stitching 8,000,000 320,000 machine hours inspections 2,800,000 160,000 labor hours packing 960,000 64,000 finished goods units compute the activity-based overhead rates. (round answers to 2 decimal places, e.g. 12.25.)

You are working on a bid to build two city parks a year for the next three years. this project requires the purchase of $249,000 of equipment that will be depreciated using straight-line depreciation to a zero book value over the three-year project life. ignore bonus depreciation. the equipment can be sold at the end of the project for $115,000. you will also need $18.000 in net working capital for the duration of the project. the fixed costs will be $37000 a year and the variable costs will be $148,000 per park. your required rate of return is 14 percent and your tax rate is 21 percent. what is the minimal amount you should bid per park? (round your answer to the nearest $100) (a) $214,300 (b) $214,100 (c) $212,500 (d) $208,200 (e) $208,400

Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?