"A 45-year old man earns $150,000 per year and is covered by his employer's 401(k) Plan. He quits" his job and moves to a new company that has no retirement plan, but will also pay him $150,000 per year. He should be advised to:

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.

Computing equivalent units is especially important for: (a) goods that take a relatively short time to produce, such as plastic bottles. (b) goods with sustainability implications in their production processes. (c) goods that are started and completed during the same period. (d) goods that take a long time to produce, such as airplanes.

Abank has $132,000 in excess reserves and the required reserve ratio is 11 percent. this means the bank could have in checkable deposit liabilities and in (total) reserves.