Felix really wanted a new toy. He went to the toy store with $50. His top 4 choices were a toy truck for $45, a Lego set for $55, a basketball for $42, or a Nerf gun for $32. Since he couldn’t afford the Lego set, narrowed it down to the truck, basketball, or Nerf gun. He ultimately decided that he really wanted the basketball. What is his opportunity cost? Why? please help me

Needs 83,000 optical switches next year (assume same relevant range). by outsourcing them, worldsystems can use its idle facilities to manufacture another product that will contribute $ 140,000 to operating income, but none of the fixed costs will be avoidable. should worldsystems make or buy the switches? show your analysis.

Jen left a job paying $75,000 per year to start her own florist shop in a building she owns. the market value of the building is $120,000. she pays $35,000 per year for flowers and other supplies, and has a bank account that pays 5 percent interest. what is the economic cost of jen's business?

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.