How do the lives of Jim Taylor, Tondra Young, Corey Anderson and Mary Turner exemplify concepts like the wealth-health gradient and the importance of power and control? What does comparing data maps of disease rates in the different Louisville council districts reveal? What might explain observed differences?

Melissa is a very generous single woman. before this year, she had given over $11,400,000 in taxable gifts over the years and has completely exhausted her applicable credit amount. in the current year, melissa gave her daughter riley $100,000 and promptly filed her gift tax return. melissa did not make any other gifts this year. how much gift tax must riley pay the irs because of this transaction?

Sam and diane are completing their federal income taxes for the year and have identified the amounts listed here. how much can they rightfully deduct? • agi: $80,000 • medical and dental expenses: $9,000 • state income taxes: $3,500 • mortgage interest: $9,500 • charitable contributions: $1,000.

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.