Please help ASAP

Is an interior design company a industry business or service businesses?

How is a proportional tax different from a progressive tax? a. a proportional tax decreases with income level, but a progressive tax increases with income level. b. a proportional tax increases with income level, but a progressive tax decreases with income level. c. a proportional tax increases with income level, but a progressive tax is the same percentage for all. d. a proportional tax is the same percentage for all, but a progressive tax increases with income level.

He taylor company sells music systems. each music system costs the company $100 and will be sold to the public for $250. in year one, the company sells 100 gift cards to customers for $250 each ($25,000 in total). these cards are valid for just one year, and company officials expect them to all be redeemed. in year two, only 96 of the cards are returned. what amount of net income does the company report for year two in connection with these cards? a. $15,000b. $15,400c. $15,500d. $15,800

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.