Chef ann marie of dahlgren catering uses two measures of activity, jobs and meals, in the cost formulas in its budgets and performance reports. the cost formula for catering supplies is $380 per month plus $94 per job plus $11 per meal. a typical job involves serving a number of meals to guests at a corporate function or at a host's home. the company expected its activity in october to be 20 jobs and 216 meals, but the actual activity was 19 jobs and 221 meals. the actual cost for catering supplies in october was $4,790. the catering supplies in the flexible budget for october would be closest to: a. $4,404 b. $4,790 c. $4,636 d. $4,597

(4 points) suppose the production function in the solow model is given by yt = ak¯ 3/4 t l 1/4 t . (a) what are the five equations and five unknowns that summarize the solow model? (b) show the transition dynamics in the solow model if ¯sy0 < ¯dk0. make sure you label the axes, curves, initial level of capital and steady-state level of capital. (c) solve for capital, output, capital per person, and output per person in the steady state. (d) if a¯ = 2, l¯ = 4, ¯s = 0.2, and ¯d = 0.05, calculate the steady-state level of capital and output per person.

The basic difference between macroeconomics and microeconomics is that: a. microeconomics looks at the forest (aggregate markets) while macroeconomics looks at the trees (individual markets). b. macroeconomics is concerned with groups of individuals while microeconomics is concerned with single countries. c. microeconomics is concerned with the trees (individual markets) while macroeconomics is concerned with the forest (aggregate markets). d. macroeconomics is concerned with generalization while microeconomics is concerned with specialization.

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.