True or false most small business owners enjoy being part of a team

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.

On january 2, well co. purchased 10% of rea, inc.’s outstanding common shares for $400,000, which equaled the carrying amount and the fair value of the interest purchased in rea’s net assets. well did not elect the fair value option. because well is the largest single shareholder in rea, and well’s officers are a majority on rea’s board of directors, well exercises significant influence over rea. rea reported net income of $500,000 for the year and paid dividends of $150,000. in its december 31 balance sheet, what amount should well report as investment in rea?

Aresearcher developing scanners to search for hidden weapons at airports has concluded that a new scanner isis significantly better than the current scanner. he made his decision based on a test using alpha equals 0.025 .α=0.025. would he have made the same decision at alpha equals 0.10 question mark α=0.10? how about alpha equals 0.01 question mark α=0.01? explain