Acompany runs food service concessions for sporting events throughout the country. their marketing research department chose a particular football stadium to test market a new jumbo hot dog. it was found that the demand for the new hot dog is given approximately by p=7−ln(x),1≤x≤500, where x is the number of hot dogs (in thousands) that can be sold during one game at a price of p dollars. if the company pays 1 dollar for each hot dog, how should the hot dogs be priced to maximize the profit per game?

Njuly, noel & vang company purchased materials costing $23,100 and incurred direct labor cost of $19,800. manufacturing overhead totaled $35,200 for the month. information on inventories was as follows: july 1 july 31 materials $6,820 $7,810 work in process 770 1,320 finished goods 3,630 2,970 what was the cost of goods sold for july? a. $71,300 b. $71,100 c. $69,600 d. $77,220

Which of the following is not a personality trait? sincerity word processing punctuality laziness

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.