I believe the answer is <span>. Decoy appliances/vehicles
The majority of this fraud is targeted the people who do not really pay attention to the specs of the product they use.
For example, many repairment targets older people by giving them advice to fix parts of their computer that's working fine.</span>
<span>Becky is a private accountant whose work is mainly with managerial accounting. Managerial accounting is a process o identifying, measuring, analyzing, interpreting, and communicating information in order to achieve the goals of an organization. Another name for managerial accounting is cost accounting.</span>
The correct answer is A. Low interest rate encourage consumers to borrow and spend, while high interest rates encourage saving.
Interest rate is termed as the rate which a bank charges to its borrowers.
Nationally a good interest rat for a loan is 3.7%.
Recession and inflation are some effects of interest rate. We get to hear the federal funds rates if the interest rate falls or rises.
If the interest rate becomes high people will start to spend less to avoid the high cost.
Answer:
The production range between 1120,000 and 150,000 is called Relevant range
correct option is c) relevant range
Explanation:
given data
normally produces = 120,000 to 150,000 units
to find out
The production range between 1120,000 and 150,000 is called
solution
The production range between 1120,000 and 150,000 is called Relevant range because there are 2 point
- if Craft, Inc. need to reduce fixed expenses then production volume is reduce less than 120000 unit
- if Craft, Inc. need to increase fixed expenses than production volume is increases more than 150000 unit
and if expected fixed expenses will not change than the production volume is 120000 units to 150000 units
so that production range between 1120,000 and 150,000 is called Relevant range
correct option is c) relevant range
The expected return for stock A and B is 8.55% and 15.11% respectively.
<h3>What is the Expected return?</h3>
= (Probability of Recession × Return during recession) + (Probability of normal × Return during normal) + (Probability of boom × Return during boom)
Expected return for stock A:
= (0.20 * .05) + (0.57 * 0.08) + (0.23 * 0.13)
= 0.0855
= 8.55%
Expected return for stock B:
= (0.20 * 0.20) + (0.57 * 0.09) + (0.23 * 0.26)
= 0.1511
= 15.11%
Therefore, the expected return for stock A and B is 8.55% and 15.11% respectively.
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