Answer:
Normal goods
Explanation:
In simple words, normal goods refers to the goods which re necessary for the survival for the survival for re consumer and the consumer do not take its quality into consideration while making a purchase decision.
The demand for such goods have a positive relationship with the income of consumer, that is, when the income or wages of consumer increase the demand for such goods also increases and vice versa.
The increase in demand for normal goods by consumer is sometimes also seen as an indicator of an economic growth. Clothes, vegetable and medicines are some of the many examples of normal goods.
Answer:
Market value of stock A = 20 shares x $10 = $200
Market value of stock B = 15 shares x $3 = $45
Market value of stock C = 10 shares x $5 = $50
Total market value $295
Amount to invest in stock A
= $200/$295 x $5,000
= $3,389.83
Explanation:
In this case, we will calculate the market value of each stock by multiplying the number of each stock by their corresponding market prices.
Thereafter, we will divide the market value of stock A by the total market value multiplied by amount available for investment ($5,000).
The correct answer is D. Adjusted balance method.
Adjusted balance method in termed as the method which is being used by finance companies and banks to calculate for finance charges or interest income. which is known to be associated with credit card account or bank account.
The finance waits to aggregate all the adjustments and also calculates finance charges or interest rates by the end of billing period which will depend with the ending balance.
Answer:
D. Consumption by $80 billion.
Explanation:
Marginal propensity to Save = 1 / MPS
= 1 / 0.2
= 5
= $20 billion × 5
= $100 billion
= $100 - $20
= $80 billion
Therefore, a $20 billion rise in investment spending will increase consumption by $80 billion.
Answer: Sensitive analysis
Explanation:
Sensitivity analysis this is a financial standard that is used to regulate how target variables can be affected based on changes in other variables which known as input variables. This is also known as what-if or simulation analysis. It is a way used in predicting an outcome of a decision under a known range of variables.