The following information is available for department x for the month of august: work in process, august 1: materials $ 8,480 conversion costs $15,900 costs added during august: materials $29,680 conversion costs $26,500 equivalent units of production (weighted average): materials 4,240 conversion 5,300 department x's cost per equivalent unit for conversion using the weighted average method would be:
department x's cost per equivalent unit for conversion costs using the weighted average method would be:
a) $8.00.
b) $5.00.
c) $3.00.
d) $9.00.

Acompany determined that the budgeted cost of producing a product is $30 per unit. on june 1, there were 80,000 units on hand, the sales department budgeted sales of 300,000 units in june, and the company desires to have 120,000 units on hand on june 30. the budgeted cost of goods sold for june would be

How much does a neurosurgeon can make most in canada? give me answer in candian dollar

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.