Equipment costing $14,500 with an estimated salvage value of $1,060 and an estimated life of 4 years was purchased on October 31, 2019. Using the straight-line depreciation method, what is the amount of depreciation expense to be recorded at December 31, 2019? Multiple Choice $560 $1,060 $280 $3,360

There is a cost associated with each source of financing. discuss the cost of debt, preferred stock, common stock, and retained earnings in detail. which source of financing is typically less expensive? why? why do financial managers try to determine the optimal capital mix? be specific.

In 2007, americans smoked 19.2 billion packs of cigarettes. they paid an average retail price of $4.50 per pack. a. given that the elasticity of supply is 0.50.5 and the elasticity of demand is negative 0.4−0.4, derive linear demand and supply curves for cigarettes. the demand equation is qdequals=nothingplus+nothing times ×p and the supply equation is qsequals=nothingplus+nothing times ×p.

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.