Answer:
a. containerization
Explanation:
The containerization is defined as the system which uses intermodel containers for freight transport. By this methods, each container is considered an unit of product instead of smaller parts. The transport between shipment methods would be facilitated without affecting to commodities inside each containers. In addition, when many products are in the containers, the quantity of parcel can be easily controller. The standardized dimensions of containers used can help the exporter, importer or transporter easily make plan about shipment by different means.
Answer: The change will be $400 billion.
Explanation: The marginal propensity to consume (MPC) is used to explain that increase in consumption is as a result of increase in income.
To calculate how much the equilibrium real GDP will change:
STEP1: CALCULATE THE MULTIPLIERS
multipliers = 1 ÷ (1 - MPC)
Where MPC = 0.
Therefore;
Multipliers = 1 ÷ (1 - 0.5) = 1 ÷ 0.5
Multipliers = 2
STEP 2: CALCULATE HOW MUCH THE EQUILIBRIUM REAL GDP WILL CHANGE;
Multipliers × change in consumption spending
2 × $200 billion = $400 billion
Equilibrium real GDP will change with $400 billion
Answer:
The aggregate demand will fall
Explanation:
The aggregate supply measures the quantity of real GDP that can be supplied by in the economy at different price levels. it measures planned output if both prices and average wage rates can change, the Long run aggregate supply curve is assumed to be vertical (this means it remains constant when the general price level changes).
The leftward shift in aggregate supply means that at the same price levels the quantity supplied of real GDP has decreased. This is mostly due to natural disasters or other supply shocks like economic depression, when there is leftward shift in aggregate there would be fewer workers available to produce goods at any given price.
Answer:
Based on selecting a sample of 300 computers The probability questions are follows
1. . What is the probability that no computer needs service within the warranty period?
2 . What is the probability that more than half of the computers that are sampled will need warranty period?
3. What is the expected number of computers fail before the warranty period?
