Which of the following is most associated with financial accounting? a. prepared in accordance with GAAP b. can have both objective and subjective information c. can be prepared periodically, or as needed d. can be prepared for the entity or segment

Visburg concrete company pours concrete slabs for single-family dwellings. lancing construction company, which operates outside visburg's normal sales territory, asks visburg to pour 40 slabs for lancing's new development of homes. visburg has the capacity to build 300 slabs and is presently working on 250 of them. lancing is willing to pay only $3, 300 per slab. visburg estimates the cost of a typical job to include unit-level materials, $1, 440: unit-level labor, $720: and an allocated portion of facility-level overhead, $1, 200. required calculate the contribution to profit from the special order. should visburg accept or reject the special order to pour 40 slabs for $3, 300 each?

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 $

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.