If one uses the data above (in billions of dollars), the Gross domestic product (in billions of dollars) for this economy equals $1,200.
<h3>What is the GDP about?</h3>
Note that:
GDP (Gross Domestic Product):
Thus it will be :
Consumption + Investment + Government expenditure + (Export - Import)
Which is:
GDP = 800 + 200 + 300 + (100 - 200)
GDP = $1200 billions
See full question below
Consumption expenditures $800
Investment expenditures 200
Government purchases 300
Exports 100
Imports 200
Wages 800
8) Refer to Table above. Consider the data above (in billions of dollars) for an economy: Gross domestic product (in billions of dollars) for this economy equals
A) $2,200.
B) $1,600.
C) $1,400.
D) $1,200.
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Answer:
D. at the intersection of at least two constraints.
Explanation:
Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.
Gettier contributed to what we know about the exemplar model, while Rosch contributed to what we know about the prototype model. Prototype and exemplar theories are both versions of statistical theories of concepts. Prototype theories hold that concepts represent categories by means of a summary of the typical properties that category members possess, while exemplar theories hold that concepts represent categories by means of a cluster of individual category members that may be used to extract the statistical central tendency of the category.
