When the DuPont chemical company first attempted to enter the paint​ business, it was not successful. According to a company​ report, in one year it ​"lost nearly​ $500,000 in actual cash in addition to an expected return on investment of nearly​ $500,000, which made a total loss of income to the company of nearly a​ million." Why did this report include as part of the​ company's loss the amount it had expected to earn​ -- but​ didn't -- on its investment in manufacturing​ paint?

The selling price of houses would be most likely to decrease if there were first a decrease in which of the following? a. new-housing construction. b. mortgage interest rates. c. the unemployment rate. d. construction workers' wages. 2b2t

In the united states, one worker can produce 10 tons of steel per day or 20 tons of chemicals per day. in the united kingdom, one worker can produce 5 tons of steel per day or 15 tons of chemicals per day. the united kingdom has a comparative advantage in the production of:

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.