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Damm [24]
3 years ago
6

Large purchases ( such as motorcycles and automoblies) are commonly brought using?

Business
1 answer:
SpyIntel [72]3 years ago
3 0
Large purchases are usually bought from loans
You might be interested in
During year 2, Rand Co. purchased $960,000 of inventory. The cost of goods sold for year 2 was $900,000, and the ending inventor
Elza [17]

Answer:

Option (b) 6.0

Explanation:

Data provided in the question:

Purchases = $960,000

Cost of goods sold = $900,000

Ending inventory = $180,000

Now,

Beginning inventory = Cost of goods available for sale - Purchases

= ( $900,000  + $180,000 ) - $960,000

= $120,000

Thus,

Average inventory = ( $120,000 + $180,000 ) ÷ 2

= $150,000

therefore,

Inventory turnover = Cost of goods sold ÷ Average inventory

= $900,000 ÷ 150,000

=  6.0

Option (b) 6.0

6 0
4 years ago
Utility refers to: a. the costs incurred for a training program. b. the usefulness of a training program. c. the benefits derive
borishaifa [10]

Answer:

c. the benefits derived from training relative to the costs incurred.

Explanation:

The word "utility" is a reference to the benefits of a project or proposal in relation to the monetary costs involved in carrying out this project. In other words, the benefits an individual will earn from the project will be proportional to the amount that the individual will pay to participate in the project.

6 0
3 years ago
Read 2 more answers
Changes in the CPI overstate the true inflation rate due to four "biases". If apple prices rise rapidly during the month while o
Butoxors [25]

Answer: the substitution bias

                                 

Explanation: The substitution bias shows the tendency of consumers of buying less costly good in place expensive one.

In the given case when the price of apple rises and the price of oranges falls then the consumer will purchase more of the oranges. In such a scenario the index will rise showing that the good which was purchased earlier by the consumers has risen however in the real world the consumer shave sifted their demand to a less expensive product.

Thus, it will lead to overstatement of substitution bias.

7 0
4 years ago
There is substantial evidence that antitrust policy has been effective in identifying and prosecuting price-fixing by businesses
natta225 [31]

True, there is substantial evidence that antitrust policy has been effective in identifying and prosecuting price-fixing by businesses.

A written, verbal, or conduct-based agreement to raise, lower, maintain or stabilize prices or price levels is known as price fixing. Antitrust laws typically mandate that each business establish prices and other competitive terms independently, without consulting a rival. Price fixing gives businesses the power to discourage market competition. Instead of competing in a market that is competitive, producers can more easily and profitably agree upon prices and set them together. Customers are victimized and businesses are under less incentive to maintain competitive prices. The Antitrust Division of the US Department of Justice may pursue criminal charges for price fixing, bid rigging, and other types of collusion.

More about price fixing brainly.com/question/16199660

#SPJ4

8 0
2 years ago
Help me plz I will give brainliest
hoa [83]

Answer:

1. Most people file their tax returns in the month of February, March and April.

2. The approximate number of people who filed their returns the first week of February and the week of April 15, combined=21 M

3. Most people don't file their tax returns on January for a variety of reasons namely; this is the period after the festive season most companies are fully back at work, this is the period where most people are still preparing their income statements and financial reports for filing and this process usually takes some time, and finally, most people usually feel like they still have a lot of time to the deadline of filing their returns.

4.  An equation to calculate the percentage of people who filed their taxes during the week of April can be expressed as;

Pa=(A/T)×100

5. The deadline for filing the tax returns is usually April 15th. From the graph we note that during the month of January no one attempted to file their returns with very many people filing their returns as the deadline approaches. So in reality most people in this nation are procrastinators since they avoided the tax of filing the tax return only until the deadline was fast approaching

Explanation:

1. Most people file their tax returns in the month of March and April. The number of people who filed their tax returns spiked in the month of February then slowed down a bit in the month of March then spiked again approaching April 15.

2. In the first week of February, about 18 million people filed their tax returns, and in the week of April 15 it was approximately 3 million people. To get the total number combined for February and April we can use the expression;

Total number=Number that filed in February+number that filed in April

where;

number that filed in February=18 M

number that filed in April=3 M

replacing in the above expression;

Total number=18+3=21 M

The approximate number of people who filed their returns the first week of February and the week of April 15, combined=21 M

3. Most people don't file their tax returns on January for a variety of reasons namely; this is the period after the festive season most companies are fully back at work, this is the period where most people are still preparing their income statements and financial reports for filing and this process usually takes some time, and finally, most people usually feel like they still have a lot of time to the deadline of filing their returns.

4.  An equation to calculate the percentage of people who filed their taxes during the week of April can be expressed as;

Pa=(A/T)×100

where;

Pa=percentage of people who filed their taxes during the week of April 15th.

A=number of people who filed their tax returns during the week of April 15th

T=total number of people who filed their tax returns

This can also be expressed as;

percentage of people who filed their taxes during the week of April 15th=(number of people who filed their tax returns during the week of April 15th/total number of people who filed their tax returns)×100

5. The deadline for filing the tax returns is usually April 15th. From the graph we note that during the month of January no one attempted to file their returns with very many people filing their returns as the deadline approaches. So in reality most people in this nation are procrastinators since they avoided the tax of filing the tax return only until the deadline was fast approaching

6 0
3 years ago
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