Arnie was the beneficiary of his wife's life insurance policy. He received $100,000 in June from the policy after his wife's death. He also sold some land that he had purchased a couple of years earlier. He sold the land for $6,000. He only paid $3,500 for the land when he bought it. Arnie is self-employed and earned a profit in his business of $55,000 (ignoring the self-employment tax deduction). What is the amount of Arnie's gross income for the current year

Pursuant to the video, if the news reporter had challenged the reasonableness of her detention by the coach store, coach could have claimed the which is also known as merchant protection statutes according to the book.

When sending a claim to an insurance company for services provided by the physician, why are both icd-10 and cpt codes required to be submitted? how are these codes dependent upon each other? what would be the result of not submitting both codes on a medical claim to an insurance company?

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.