Beamish Inc., which produces a single product, has provided the following data for its most recent month of operations: Number of units produced 6,400 Variable costs per unit: Direct materials $ 60 Direct labor $ 54 Variable manufacturing overhead $ 4 Variable selling and administrative expense $ 17 Fixed costs: Fixed manufacturing overhead $ 236,800 Fixed selling and administrative expense $ 492,800 There were no beginning or ending inventories. The absorption costing unit product cost was:

Josie just bought her first fish tank a 36 -gallon glass aquarium, which she’s been saving up for almost a year to buy. for josie, the fish tank is most likely what type of purchase

Alarge tank is filled to capacity with 500 gallons of pure water. brine containing 2 pounds of salt per gallon is pumped into the tank at a rate of 5 gal/min. the well-mixed solution is pumped out at the same rate. find the number a(t) of pounds of salt in the tank at time t.

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.