What is the most likely explanation for a +20.0% return on a stock with a beta of 1.0 in a month when the market returned +10.0%? a. The stock is aggressive.
b. The market is undervalued.
c. Favorable firm-specific news was reported.
d. The beta is really less than 1.0.

Which one of the following is most apt to align management's priorities with shareholders' interests? compensating managers with shares of stock that must be held for a minimum of three years holding corporate and shareholder meetings at high-end resort-type locations preferred by managers increasing the number of paid holidays that long-term employees are entitled to receive allowing employees to retire early with full retirement benefits paying a special management bonus on every fifth year of employment

Demand increases by less than supply increases. as a result, (a) equilibrium price will decline and equilibrium quantity will rise. (b) both equilibrium price and quantity will decline. (c) both equilibrium price and quantity will rise

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.