Consider a call option. If, in a two-state model, a stock can take a price of $172 or $129, what would be the hedge ratio for each of the following exercise prices: $172, $165, $155, $129

mary's baskets company expects to manufacture and sell 30,000 baskets in 2019 for $5 each. there are 4,000 baskets in beginning finished goods inventory with target ending inventory of 4,000 baskets. the company keeps no work-in-process inventory. what amount of sales revenue will be reported on the 2019 budgeted income statement?

Florence invested in a factory requiring. federally-mandated reductions in carbon emissions. how will this impact florence as the factory's owner? a. her factory will be worth less once the upgrades are complete. b. her factory will likely be bought by the epa. c. florence will have to invest a large amount of capital to update the factory for little financial gain. d. florence will have to invest a large amount of capital to update the factory for a large financial gain.

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.