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Figure 34-7

question 161

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Figure 34-7
(a) The Money Market
(b) The Aggregate Demand Curve Figure 34-7 (a)  The Money Market (b)  The Aggregate Demand Curve     -Refer to Figure 34-7. Suppose the multiplier is 5 and the government increases its purchases by $15 billion. Also, suppose the AD curve would shift from AD<sub>1</sub> to AD<sub>2</sub> if there were no crowding out; the AD curve actually shifts from AD<sub>1</sub> to AD<sub>3</sub> with crowding out. Also, suppose the horizontal distance between the curves AD<sub>1</sub> and AD<sub>3</sub> is $55 billion. The extent of crowding out, for any particular level of the price level, is A) $75 billion. B) $40 billion. C) $30 billion. D) $20 billion. Figure 34-7 (a)  The Money Market (b)  The Aggregate Demand Curve     -Refer to Figure 34-7. Suppose the multiplier is 5 and the government increases its purchases by $15 billion. Also, suppose the AD curve would shift from AD<sub>1</sub> to AD<sub>2</sub> if there were no crowding out; the AD curve actually shifts from AD<sub>1</sub> to AD<sub>3</sub> with crowding out. Also, suppose the horizontal distance between the curves AD<sub>1</sub> and AD<sub>3</sub> is $55 billion. The extent of crowding out, for any particular level of the price level, is A) $75 billion. B) $40 billion. C) $30 billion. D) $20 billion.
-Refer to Figure 34-7. Suppose the multiplier is 5 and the government increases its purchases by $15 billion. Also, suppose the AD curve would shift from AD1 to AD2 if there were no crowding out; the AD curve actually shifts from AD1 to AD3 with crowding out. Also, suppose the horizontal distance between the curves AD1 and AD3 is $55 billion. The extent of crowding out, for any particular level of the price level, is

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Definitions:

Null Hypothesis

The hypothesis that there is no significant difference or effect, serving as the default assumption to be tested against the alternative hypothesis.

Population Proportions

The ratio of members in a statistical population that have a particular attribute or characteristic.

Type I Error

A statistical error that occurs when a true null hypothesis is incorrectly rejected.

Type II Error

The error that occurs when a statistical test fails to reject a false null hypothesis, incorrectly concluding that there is no effect or difference when there is.

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