Adrug company has a monopoly on a new patented medicine. the product can be made in either of two plants. the marginal costs of production for the two plants are mc 1 equals 25 plus 2 upper q 1mc1=25+2q1 and mc 2 equals 10 plus 3 upper q 2mc2=10+3q2. the firm's estimate of demand for the product is upper p equals 25 minus 3 left parenthesis upper q 1 plus upper q 2 right parenthesisp=25−3q1+q2. how much should the firm plan to produce in each plant? at what price should it plan to sell the product? (round your responses to two decimal places.) the firm should produce nothing units in plant 1 and nothing in plant 2. to maximize profits, it should charge a price of $nothing per unit.

marketing strategies should be established before marketing objectives are decided. t/f

Oakmont company has an opportunity to manufacture and sell a new product for a four-year period. the company’s discount rate is 18%. after careful study, oakmont estimated the following costs and revenues for the new product: cost of equipment needed $ 230,000 working capital needed $ 84,000 overhaul of the equipment in year two $ 9,000 salvage value of the equipment in four years $ 12,000 annual revenues and costs: sales revenues $ 400,000 variable expenses $ 195,000 fixed out-of-pocket operating costs $ 85,000 when the project concludes in four years the working capital will be released for investment elsewhere within the company. click here to view exhibit 12b-1 and exhibit 12b-2, to determine the appropriate discount factor(s) using tables.

Reliability and validity reliability and validity are two important considerations that must be made with any type of data collection. reliability refers to the ability to consistently produce a given result. in the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways. unfortunately, being consistent in measurement does not necessarily mean that you have measured something correctly. to illustrate this concept, consider a kitchen scale that would be used to measure the weight of cereal that you eat in the morning. if the scale is not properly calibrated, it may consistently under- or overestimate the amount of cereal that’s being measured. while the scale is highly reliable in producing consistent results (e.g., the same amount of cereal poured onto the scale produces the same reading each time), those results are incorrect. this is where validity comes into play. validity refers to the extent to which a given instrument or tool accurately measures what it’s supposed to measure. while any valid measure is by necessity reliable, the reverse is not necessarily true. researchers strive to use instruments that are both highly reliable and valid.