Ryan is deciding between attending western state university and eastern state university. he cannot attend both universities simultaneously. both are fine universities, but the reputation of western is slightly higher, as is the tuition. let mu subscript upper e and mu subscript upper w be ryan's marginal utilities from attending eastern and western state universities respectively and upper p subscript upper e and upper p subscript upper w be the prices of attending eastern and western state universities. using the rule of consumer optimum, ryan will decide to attend eastern state university, if mue/pe exceeds muw/pw attend eastern state university if mue/pe is less than muw/pw attend western state university, if pe/mue< pw/muw attend western state university, since it gives him more utility.

While studying for the engineering economy final exam, you and two friends find yourselves craving a fresh pizza. you can't spare the time to pick up the pizza and must have it delivered. "pick-up-sticks" offers a 1-1/4-inch-thick (including toppings), 20-inch square pizza with your choice of two toppings for $15 plus 5% sales tax and a $1.50 delivery charge (no sales tax on delivery charge). "fred's" offers the round, deep-dish sasquatch, which is 20 inches in diameter. it is 1-3/4 inches thick, includes two toppings, and costs $17.25 plus 5% sales tax and free delivery. 1. what is the problem in this situation? state it in an explicit and precise manner. 2. systematically apply the seven principles of engineering economy (pp. 3-6) to the problem you have defined in part (a). 3. assuming that your common unit of measure is dollars (i. e., cost), what is the better value for getting a pizza based on the criterion of minimizing cost per unit of volume? 4. what other criteria might be used to select which pizza to purchase?

Which of the following best describes why you need to establish goals for your program?

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.