The following information is available for the preparation of the government-wide financial statements for the city of southern springs as of april 30, 2017:

cash and cash equivalents, governmental activities $3,640,000
cash and cash equivalents, business-type activities 832,000
receivables, governmental activities 615,000
receivables, business-type activities 1,259,000
inventories, business-type activities 492,000
capital assets, net, governmental activities 10,030,000
capital assets, net, business-type activities 10,740,000
accounts payable, governmental activities 615,000
accounts payable, business-type activities 624,000
noncurrent liabilities, governmental activities 5,160,000
noncurrent liabilities, business-type activities 3,039,000
net position, net investment in capital assets, governmental activities 4,870,000
net position, net investment in capital assets, business-type activities 7,701,000
net position, restricted for debt service, governmental activities 714,000
net position, restricted for debt service, business-type activities 211,000

from the above information, prepare a statement of net position for the city of southern springs as of april 30, 2017.

Corporations with suppliers, vendors, and customers all over the globe are referred to as : a) global corporations b) international corporations c) multinational corporations d) multicultural corporations

Consider 8.5 percent swiss franc/u. s. dollar dual-currency bonds that pay $666.67 at maturity per sf1,000 of par value. it sells at par. what is the implicit sf/$ exchange rate at maturity? will the investor be better or worse off at maturity if the actual sf/$ exchange rate is sf1.35/$1.00

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.