Mazie Supply Co. uses the percent of accounts receivable method. On December 31, it has outstanding accounts receivable of $58,000, and it estimates that 5% will be uncollectible. Prepare the year-end adjusting entry to record bad debts expense under the assumption that the Allowance for Doubtful Accounts has: (a) a $986 credit balance before the adjustment. (b) a $290 debit balance before the adjustment.

Suppose that each country completely specializes in the production of the good in which it has a comparative advantage, producing only that good. in this case, the country that produces jeans will produce 32 million pairs per month, and the country that produces corn will produce 32 million bushels per month.

You were able to purchase two tickets to an upcoming concert for $100 apiece when the concert was first announced three months ago. recently, you saw that stubhub was listing similar seats for $225 apiece. what does it cost you to attend the concert?

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.