To be most effective, a Code of Ethics must . be drafted in a positive actions or results-based approach be drafted to specify prohibited behavior need not apply to senior management be enforced with regard to all members of the organization

Walsh company manufactures and sells one product. the following information pertains to each of the company’s first two years of operations: variable costs per unit: manufacturing: direct materials $ 25 direct labor $ 12 variable manufacturing overhead $ 5 variable selling and administrative $ 4 fixed costs per year: fixed manufacturing overhead $ 400,000 fixed selling and administrative expenses $ 60,000 during its first year of operations, walsh produced 50,000 units and sold 40,000 units. during its second year of operations, it produced 40,000 units and sold 50,000 units. the selling price of the company’s product is $83 per unit. required: 1. assume the company uses variable costing: a. compute the unit product cost for year 1 and year 2. b. prepare an income statement for year 1 and year 2. 2. assume the company uses absorption costing: a. compute the unit product cost for year 1 and year 2. b. prepare an income statement for year 1 and year 2. 3. reconcile the difference between variable costing and absorption costing net operating income in year 1.

True tomato inc. makes organic ketchup. to promote its products, this firm decided to make bottles in the shape of tomatoes. to accomplish this, true tomato worked with its bottle manufacture to create a set of unique molds for its bottles. which of the following specialized assets does this example demonstrate? (a) site specificity (b) research specificity (c) physical-asset specificity (d) human-asset specificity

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.