Sanborn Industries has the following overhead costs and cost drivers. Activity Cost Pool Cost Driver Est. Overhead Cost Driver Activity Ordering and Receiving Orders $ 120,000 500 orders Machine Setup Setups 297,000 450 setups Machining Machine hours 1,500,000 125,000 MH Assembly Parts 1,200,000 1,000,000 parts Inspection Inspections 300,000 500 inspections If overhead is applied using activity-based costing, the overhead application rate for ordering and receiving is: (the overhead application rate for ordering and receiving = estimated overhead for ordering and receiving / cost driver activity for ordering and receiving) (a) $1.20 per direct labor hour.
(b) $6,834 per order.
(c) $240 per order.
(d) $0.12 per part.

Clonex labs, inc., uses the weighted-average method in its process costing system. the following data are available for one department for october: percent completed units materials conversion work in process, october 1 53,000 90 % 65 % work in process, october 31 29,000 74 % 52 % the department started 381,000 units into production during the month and transferred 405,000 completed units to the next department. required: compute the equivalent units of production for october.

Nichols inc. manufactures remote controls. currently the company uses a plantminuswide rate for allocating manufacturing overhead. the plant manager is considering switchingminusover to abc costing system and has asked the accounting department to identify the primary production activities and their cost drivers which are as follows: activities cost driver allocation rate material handling number of parts $5 per part assembly labor hours $20 per hour inspection time at inspection station $10 per minute the current traditional cost method allocates overhead based on direct manufacturing labor hours using a rate of $20 per labor hour. what are the indirect manufacturing costs per remote control assuming an method is used and a batch of 10 remote controls are produced? the batch requires 100 parts, 5 direct manufacturing labor hours, and 3 minutes of inspection time.

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.