Many enterprise organizations believe that cloud computing is essential to their business operations. There are some; however, that argue it is not cost efficient and operationally appropriate. Provide a use case where cloud computing is not appropriate and explain why you feel this is an appropriate decision for the enterprise.

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The cutting department of cassel company has the following production and cost data for july. production costs 1. transferred out 12,300 units. beginning work in process $0 2. started 3,900 units that are 60% materials 62,856 complete as to conversion labor 12,622 costs and 100% complete as manufacturing overhead 23,100 to materials at july 31. materials are entered at the beginning of the process. conversion costs are incurred uniformly during the process. determine the equivalent units of production for (1) materials and (2) conversion costs. materials conversion costs total equivalent units of production link to text link to text compute unit costs. (round unit costs to 2 decimal places, e.g. 2.25.) materials $ conversion costs $ link to text link to text prepare a cost reconciliation schedule. (round unit costs to 2 decimal places, e.g. 2.25 and final answers to 0 decimal places, e.g. 1,225.) cost reconciliation costs accounted for transferred out $ work in process, july 31 materials $ conversion costs total costs $

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.