A taxpayer, age 64, purchases an annuity from an insurance company for $50,000. She is to receive $300 per month for life. Her life expectancy is 20.8 years from the annuity starting date. Assuming that she receives $3,600 this year, what is the exclusion percentage and how much is included in her gross income?\

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.

Predict how the price of athletic shorts would change if schools banned their use