A small company in Des Moines wants to set up an IT infrastructure for its workforce. The company recently moved to an older building that has solid walls and ceilings. Furthermore, most of the staff likes the flexibility of moving around the open office space to perform work on their laptops. Which communication infrastructure makes most sense for this company?

What is the difference between secure bonds and naked bonds?

When selecting a savings account, you should look at the following factors except annual percentage yield (apy) fees minimum balance interest thresholds taxes paid on the interest variable interest rates

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.