What is the best way to make sure that all the of the keywords in the search query appear in each of the results?
a: put the terms in quotation marks
b: separate the terms with hyphens
c: connect the terms with a (+) sign
d: put commas between the keyword terms

The next dividend payment by savitz, inc., will be $2.08 per share. the dividends are anticipated to maintain a growth rate of 6 percent forever. if the stock currently sells for $42 per share, what is the required return?

Synovec co. is growing quickly. dividends are expected to grow at a rate of 24 percent for the next three years, with the growth rate falling off to a constant 7 percent thereafter. if the required return is 11 percent, and the company just paid a dividend of $2.05, what is the current share price? (do not round intermediate calculations and round your answer to 2 decimal places, e.g., 32.16.)

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.