1. when the price of fresh fish increases 5%, quantity demanded decreases 10%. the price elasticity of demand for fresh fish is a) perfectly inelastic b) elastic c) inelastic d) unit elastic 2. the determinants of elasticity include a) availability of substitutes. b) range of defination. c) time. d) all of the above 3. cross-price elasticity of demand measures the response in the a) price of a good to a change in the quantity of another good demanded b) income of consumers to the change in the price of goods. c) quantity of one good demanded when the quantity demanded of another good changes. d) quantity of one good demanded to a change in the price of another good. 4. a value of price elasticity of demand equal to 2 means that: a) demand is relatively inelastic. b) quantity demanded falls by two times the amount of an increase in price. c) when price increases, quantity demanded increases by twice as much. d) the percentage quantity demanded falls by

Which of the following statements is correct? a) due to limited liability, unlimited lives, and ease of ownership transfer, the vast majority of u.s. businesses (in terms of number of businesses) are organized as corporationsb) most businesses (by number and total dollar sales) are organized as proprietorships or corporation. however, if the business gets very large, it becomes advantageous to convert to a corporation, primarily because corporations have important tax advantages over proprietorships and partnerships.c) due to legal considerations related to ownership transfers and limited liability, which affect the ability to attract capital, most business (measured by dollar sales) is conducted by corporations in spite of large corporations' less favorable tax treatmentd) large corporations are taxed more favorably than proprietorshipse) corporate stockholders are exposed to unlimited liability

In december of 2004, the company you own entered into a 20-year contract with a grain supplier for daily deliveries of grain to its hot dog bun manufacturing facility. the contract called for "10,000 pounds of grain" to be delivered to the facility at the price of $100,000 per day. until february 2017, the supplier provided processed grain which could easily be used in your manufacturing process. however, no longer wanting to absorb the cost of having the grain processed, the supplier began delivering whole grain. the supplier is arguing that the contract does not specify the type of grain that would be supplied and that it has not breached the contract. your company is arguing that the supplier has an onsite processing plant and processed grain was implicit to the terms of the contract. over the remaining term of the contract, reshipping and having the grain processed would cost your company approximately $10,000,000, opposed to a cost of around $1,000,000 to the supplier. after speaking with in-house counsel, it was estimated that litigation would cost the company several million dollars and last for years. weighing the costs of litigation, along with possible ambiguity in the contract, what are three options you could take to resolve the dispute? which would be the best option for your business and why?

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.