Every year, shawna stuart, the director of sustainability at academic university, sees students throwing away perfectly good furniture and household items when they get ready to leave the dorms. and even though academic u is considered to be one of the best schools in the country, 30% of the people in its surrounding communities earn poverty-level wages. shawna knows that there must be some way to get all those chairs, couches, tables, and kitchen goods to people who really need them, but she needs some in figuring out how to do it. fortunately, you are the president of your school’s business honor society, and your group wants to create a new non-profit organization this year. shawna’s dilemma is perfect for your team, and together, you decide to create a new organization, share your stuff.

The new york stock exchange is an example of physical or individual

If we know that a firm has a net profit margin of 4.6 %, total asset turnover of 0.62, and a financial leverage multiplier of 1.54, what is its roe? what is the advantage to using the dupont system to calculate roe over the direct calculation of earnings available for common stockholders divided by common stock equity?

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.