g Which of the following IS NOT an issue with alternative investment decision tools? Said another way, which of the following is a false statement? Group of answer choices IRR takes into account relative scale/size of cash flows IRR struggles to handle cash flows shifting from negative to positive to negative to positive Payback rule is simple and favors shorter term projects IRR does not take adequately into account relative timing of cash flows

Suppose that hubert, an economist from an am talk radio program, and kate, an economist from a nonprofit organization on the west coast, are arguing over government bailouts. the following dialogue shows an excerpt from their debate: kate: to recent financial crises, the concept of bailouts is a hot topic for debate among everyone these days. hubert: indeed, it’s gotten crazy! a government bailout of severely distressed financial firms is unnecessary because free markets will properly price assets. kate: i don’t know about that. without a bailout of severely distressed financial firms, the economy will experience a deep recession. the disagreement between these economists is most likely due todifferences in scientific judgments . despite their differences, with which proposition are two economists chosen at random most likely to agree? business managers can raise profit more easily by reducing costs than by raising revenue. central banks should focus more on maintaining low unemployment than on maintaining low inflation. employers should not be restricted from outsourcing work to foreign nations

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.

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.