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Case in point 2.4 attaway airlines, part two back at attaway airlines, the morning meeting ended with no agreement between dan esposito and molly kinnon. in fact, a new issue arose. molly now says that the new accounting system is entitled to the highest priority because the federal government soon will require the reporting of certain types of company-paid health insurance premiums. because the current system will not handle this report, she insists that the entire accounting system is a nondiscretionary project. as you might expect, dan is upset. can part of a project be nondiscretionary? what issues need to be discussed? the committee meets again tomorrow, and the members will look to you, as the it director, for guidance.

Need with my trade theory homework. i doubt what i wrote was right.consider a monopolistically competitive market for soft drinks in which n symmetric firms face the following demand function: q=s(1/n-b(p-(p with the straight line on which implies the marginal revenue functionmr=p-(q/sb)finally, suppose firms face the total cost functiontc=900,000+100qsuppose the market size, s, is 27,000,000, and the elasticity parameter b is 0.003.diagram the price and the average total cost in the market as a function of the number of firms. what are the equations for each curve, and why does each curve slope up or down? label the equilibrium number of firms and the equilibrium price in the diagram. why is this the equilibrium?

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.