Old camp company manufactures awnings for its own line of tents. the company is currently operating at capacity and has received an offer from one of its suppliers to make the 12,000 awnings it needs for $25 each. old camp’s costs to make the awning are $12 in direct materials and $7 in direct labor. variable manufacturing overhead is 70 percent of direct labor. if old camp accepts the offer, $42,000 of fixed manufacturing overhead currently being charged to the awnings will have to be absorbed by other product lines.

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Blue spruce corp. has the following transactions during august of the current year. aug. 1 issues shares of common stock to investors in exchange for $10,170. 4 pays insurance in advance for 3 months, $1,720. 16 receives $710 from clients for services rendered. 27 pays the secretary $740 salary. indicate the basic analysis and the debit-credit analysis.

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.