A manufacturer of workstations for computer-aided design seeks to increase sales to its most important corporate customers. Its strategy is to publish very low list prices for workstations in order to generate interest among the buyers for those corporations. Which of the following, if characteristic of the marketplace, would tend to cause the manufacture’s strategy to fail?
A. The proposed list prices would seem low to a typical buyer for the manufacturer’s most important corporate customers.
B. The capabilities of workstations suitable for given jobs are not significantly different among various manufactures.
C. The manufacturer’s most important corporate customers employ as buyers persons who are very knowledgeable about prices for workstations for customer-aided design.
D. customers differ significantly in the percentage of resources they can devote to computer workstations.
E. Buyers for corporations that purchase workstations for computer-aided design receive bonuses for negotiating large discounts from the list price

Suppose that the free states of eldricia, a small nation, has consumption, investment, government purchases, imports, and exports as follows. consumption $140 investment $50 government purchases $45 imports $30 exports $15 calculate the free states of eldricia's gdp

When an interest-bearing note comes due and is uncollectible, the journal entry includes debitingaccounts receivable and crediting notes receivable and interest revenue.accounts receivable and crediting interest revenue.notes receivable and crediting accounts receivable and interest revenue.notes receivable and crediting accounts receivable.

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.