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Business, 30.08.2019 12:20 shelly74

What can you say when you want to contact people for sponsorship

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Business, 22.06.2019 06:50, kat2788
Suppose the marginal damage and marginal benefit curves in a polluted neighborhood are md = p/3 and mb = 4 – p. also, suppose that transactions costs are low, so that the consumers and the firm can bargain. we saw that in this case, the socially-optimal level of pollution is achieved. start by computing the socially-optimal p. then, for each of the following cases, compute the amount of money transferred through the bargaining process, and indicate who pays whom (i. e., whether consumers pay the firm, or vice versa). also, compute the gains to each party relative to the status quo (i. e., the starting point of the bargaining process).a)consumers have the right to clean air; firm is dominant in the bargaining process. b)consumers have the right to clean air; consumers are dominant in the bargaining process. c)firm has the right to pollute; firm is dominant in the bargaining process. d)firm has the right to pollute; consumers are dominant in the bargaining proces
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Business, 22.06.2019 07:10, mia7955
Refer to the payoff matrix. suppose that speedy bike and power bike are the only two bicycle manufacturing firms serving the market. both can choose large or small advertising budgets. is there a nash equilibrium solution to this game?
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Business, 22.06.2019 12:50, trintrin227
Afirm’s production function is represented by q(m, r) = 4m 3/4r1/3, where q denotes output, m raw materials, and r robots. the firm is currently using 6 units of raw materials and 12 robots. according to the mrts, in order to maintain its output level the firm would need to give up 2 robots if it adds 9 units of raw materials. (a) true (b) false
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Business, 22.06.2019 13:00, shayneseaton
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.
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