who has the power to impose penalties on an employer if he or she does not comply with the affirmative action plan

In a macroeconomic context, what are implicit liabilities? money owed to people possessing government issued bonds. the amount of money that firms collectively owe to shareholders. money that the government has promised to pay in the future. payments that the federal government undertakes only during periods of recession. which of the choices is a significant implicit liability in the united states? military spending education spending national science foundation spending social security

Laws corporation is considering the purchase of a machine costing $16,000. estimated cash savings from using the new machine are $4,120 per year. the machine will have no salvage value at the end of its useful life of six years and the required rate of return for laws corporation is 12%. the machine's internal rate of return is closest to (ignore income taxes) (a) 12% (b) 14% (c) 16% (d) 18%

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.