Performance reports with more than one cost driver typically have more accurate variances than those based on one cost driver.

A competitive firm currently produces and sells 500 units of output. Its total revenue is $3,500; the marginal cost of producing

Orlov [11]

Answer: Reduce output

Explanation: Profit = Total Revenue – Total Costs

Therefore, profit maximization occurs therefore, profit maximization occurs at the most significant gap or the biggest difference between the total revenue and the total cost.

TC = AC×Q = $4×500 = $2,000

Theoretically, profit maximization occurs where MR = MC

From the forgoing, producing an extra unit will increase the cost of the company thereby reducing profit.

The company should reduced output to around 499 units or less

3 0

3 years ago

M&M Proposition I with tax implies that:

Savatey [412]

Answer:

D. A firm's weighted average cost of capital decreases as the firm's debt-equity ratio increases.

6 0

3 years ago

Jax Recording Studio purchased $7,800 in electronic components from Music World. Jax signed a 60-day, 8% promissory note for $7,

Lostsunrise [7]

Answer:

Interest revenue = $7800*8%/360*60

Interest revenue = $104

Date Journal Entry Debit Credit

Cash $7,904

Notes Receivable $7,800

Interest Revenue $104

5 0

3 years ago

Consider the following two countries. Assume they produce only these two goods. Note that productivity is now measured in how ma

Ainat [17]

Answer:

A. 1/3 computers

B. 0.6 computers

Explanation:

A. The opportunity cost incurred by the US to make cars is the number of computers it would have to give up to make a car.

The US can either make 12 cars or 4 computers. For every car made therefore the US forgoes;

= 4/12

= 1/3 computers.

B. The same logic applies to Japan. They can either make 10 cars or 6 computers.

Their opportunity cost for cars is therefore;

= 6/10

= 0.6 computers

5 0

3 years ago

the flu trends model was based on: group of answer choices correlation causation average absolute deviation none of the above

mote1985 [20]

None of the above. The Flu Trends model was based on Goo-gle search data.

<h3>Goo-gle Flu Trends and the Power of Big Data</h3>

In 2009, Goo-gle launched a new service called Goo-gle Flu Trends. The service used data from Goo-gle searches to estimate the level of flu activity in different areas of the United States. The results were pretty accurate - in some cases, Goo-gle Flu Trends was able to detect flu outbreaks before government health agencies did.

Goo-gle Flu Trends was a great example of the power of big data. By analyzing a large dataset, Goo-gle was able to find patterns that would have been otherwise undetectable. And because Goo-gle has so much data, its findings were often more accurate than those of government health agencies.

Unfortunately, Goo-gle Flu Trends was discontinued in 2015. But its legacy lives on - other companies are now using big data to detect disease outbreaks, and the field of data science is only getting more important.

Learn more about trends models:

brainly.com/question/15552860

#SPJ4

7 0

1 year ago