A personal assessment can point in the direction of a particular career cluster. what best describes a career cluster?

Xyz corporation has provided the following data concerning manufacturing overhead for july: actual manufacturing overhead incurred $ 69,000 manufacturing overhead applied to work in process $ 79,000 the company's cost of goods sold was $243,000 prior to closing out its manufacturing overhead account. the company closes out its manufacturing overhead account to cost of goods sold. which of the following statements is true? multiple choice manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000 manufacturing overhead was underapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $253,000 manufacturing overhead was overapplied by $10,000; cost of goods sold after closing out the manufacturing overhead account is $233,000

University car wash built a deluxe car wash across the street from campus. the new machines cost $219,000 including installation. the company estimates that the equipment will have a residual value of $19,500. university car wash also estimates it will use the machine for six years or about 12,500 total hours. actual use per year was as follows: year hours used 1 3,100 2 1,100 3 1,200 4 2,800 5 2,600 6 1,200 prepare a depreciation schedule for six years using the following methods: 1. straight-line. 2. double-declining-balance. 3. activity-based.

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.