The accounting records of jamaican importers, inc., at january 1, 2018, included the following: assets: investment in ibm common shares $ 1,745,000 less: fair value adjustment (185,000 ) $ 1,560,000 no changes occurred during 2018 in the investment portfolio. required: prepare appropriate adjusting entry(s) at december 31, 2018, assuming the fair value of the ibm common shares was: $1,283,000 $1,610,000 $1,755,000

The distinction between a normal and an inferior good is

Margaret company reported the following information for the current year: net sales $3,000,000 purchases $1,957,000 beginning inventory $245,000 ending inventory $115,000 cost of goods sold 65% of sales industry averages available are: inventory turnover 5.29 gross profit percentage 28% how do the inventory turnover and gross profit percentage for margaret company compare to the industry averages for the same ratios? (round inventory turnover to two decimal places. round gross profit percentage to the nearest percent.)

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.