Answer:
$5,000 billion
Explanation:
We know that
Government spending multiplier = 1 ÷ (1 - marginal propensity to consume)
Government spending multiplier = 1 ÷ (1 - 0.50)
Government spending multiplier = 1 ÷ 0.50
So, Government spending multiplier = 2
If the output is increased by $10,000 billion then, the government spending would rise by
= Output ÷ Government spending multiplier
= $10,000 ÷ 2
= $5,000 billion
Answer;
A
Explanation:
two types of industries are made mention of in this question.
1)Local Fledgling Industries
2)Export Dependent Industries,who are being forced to buy products from local industries now.
Since the Government has placed a ban on the importation of the products that are being made by the local fledgling industries. The implication of this is that:
1. Buyers of those import products will experience a rise in the Cost of those products as the competition faced by the Fledging industries decreases.
2. Competing becomes difficult for Export dependent industries. This is because of inflation. They now have to buy the same product at an inflated cost, thereby reducing profits.
Answer:
d) Markets tend to move towards equilibrium as individuals respond to incentives
Explanation:
The equilibrium is the single point where the demand meets the supply. Individuals, tend to move following their own benefit, so if the demand of engineers is bigger than the supply of them, they will be better paid and become easier to find a job...individuals want to find a job with a better pay, so they will decide to major in Engineering.
As the number of engineers increase, the supply will meet the demand of them and the number of jobpostings for engineers will decrease as well as their extra pay meeting the equilibrium point.
Thats how the Markets tend to move towards equilibrium as individuals respond to incentives
Good Luck!
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Answer:
$24.7million
$97.86million
$9.89million
Explanation:
From the sample , the lowest number is 16.3 and the highest number is 41, the range is
41-16.3
=$24.7 million
Σ 
In the sample given the mean is . : (41 +40 +38+ 32+ 23+ 22+ 20+ 18+ 17.8 +16.3 )/10
mean=26.81
Using that, we can find the variance:
[(41-26.81)^2+(40-26.81)^2+(38-26.81)^2+(32-26.81)^2+(23-26.81)^2+(22-26.81)^2+(20-26.81)^2+(18-26.81)^2+(17.8-26.81)^2+(16.3-26.81)^2]/10=97.86million
The standard deviation is just the square root of the variance:
standard deviation=√(var)
, the standard deviation is the square root of 97.86, which equals $ 9.89 million
