The annual premium for a $ 15,000 insurance policy against the theft of a painting is $ 250 250. If the (empirical) probability that the painting will be stolen during the year is 0 . 02 .02, what is your expected return from the insurance company if you take out this insurance?

Elliott company produces large quantities of a standardized product. the following information is available for its production activities for march. units costs beginning work in process inventory 2,500 beginning work in process inventory started 25,000 direct materials $ 3,725 ending work in process inventory 5,000 conversion 11,580 $ 15,305 status of ending work in process inventory direct materials added 185,750 materials—percent complete 100 % direct labor added 182,375 conversion—percent complete 30 % overhead applied (140% of direct labor) 255,325 total costs to account for $ 638,755 ending work in process inventory $ 62,530 prepare a process cost summary report for this company, showing costs charged to production, unit cost information, equivalent units of production, cost per eup, and its cost assignment and reconciliation. use the weighted-average method. (round "cost per eup" to 2 decimal places.)

The cost of the beginning work in process inventory was comprised of $3,000 of direct materials, $10,000 of direct labor, and $10,000 of factory overhead. costs incurred during the period were comprised of $15,000 of direct materials costs, and $100,000 of conversion costs. the equivalent units of production (eup) for the period were 9,000 for direct materials and 6,000 for conversion. the costs per eup were:

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.