Project A is considered more risky than an average-risk project at such that the appropriate discount rate for it is

Abc computer company has a $20 million factory in silicon valley in which in builds computer components. during the current year, abc's costs are labor (wages) of $1.01.0 million; interest on debt of $0.20.2 million; and taxes of $0.20.2 million. abc sells all its output to xyz supercomputer for $2.62.6 million. using abc's components, xyz builds four supercomputers at a cost of $0.8500.850 million each, which comes from $0.6500.650 million worth of components, $0.10.1 million in labor costs, and $0.10.1 million in taxes per computer. xyz has a $30 million factory. xyz sells three of the supercomputers to other businesses for $1.81.8 million each. at year's end, it had not sold the fourth. the unsold computer is carried on xyz's books as a $0.8500.850 million increase in inventory.

Match each feature with the savings account type

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.