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3 years ago

BRAINLIEST ANSWER+50 POINTS

Business

2 answers:

LUCKY_DIMON [66]3 years ago

3 0

1. 478K
2. 286K
3. 28%
4. 79
5.478K
6. 500K
7. 30K
8.530K
9. 600K
10. 1M

Harman [31]3 years ago

3 0

Answer:

1. 511000

2. 221844

3. 2 percent

4.26150

5. 758994

6.250150

7. 11185

8. 261335

9. 758994

10. Litmus stock(18,000) checking account(15,250) Savings account(188,594)

Explanation:

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Data for Hermann Corporation are shown below:

timama [110]

Answer:

1) Yes monthly advertising budget should be increased as it increases the sales by $ 9000 even then there would be profit of $ 4000

2) the net operating income will increase by (38,000-24,000) = $ 14,000

Explanation:

Given

Sales 2000 units for $ 90 = $ 180,000

Variable Expenses = $126,000

Contribution Margin = $ 54,000

Less Fixed Expenses = $ 30,000

Operating Income = $ 24,000

1) Yes monthly advertising budget should be increased as it increases the sales by $ 9000 even then there would be profit of $ 4000

2) the net operating income will increase by (38,000-24,000) = $ 14,000

Sales 2000 units for $ 99 = $ 198,000

Variable Expenses (63 +2= $65) = $130,000

Contribution Margin = $ 68,000

Less Fixed Expenses = $ 30,000

Operating income = $ 38,000

8 0

4 years ago

The Purchase and sales agreement provides for release of earnest money to the seller after the buyer's property inspection. The

Papessa [141]

The broker should refuse to release the earnest money even after the seller requested the earnest money prior to the property inspection.

<h3>What is earnest money?</h3>

Earnest money refers to the deposit paid by a buyer to a seller, reflecting the good faith of a buyer in purchasing a home.

It is the money paid to a merchant or seller to complete a contract or money paid to a merchant / seller to show good faith in the transaction.

Hence, the broker should refuse to release the earnest money even after the seller requested the earnest money prior to the property inspection.

Learn more about earnest money here : brainly.com/question/14342438

6 0

2 years ago

In an effort to duplicate the stressors involved with working at a large company, researchers go to great effort to ensure that

Elan Coil [88]

The actions of the researchers in trying to recreate large company stressors is known as trying to increase<u> mundane realism.</u>

<h3>What is mundane realism?</h3>

This is a term in research that compares the experiment's setting to the real-world setting for similarity.

When scientists try to recreate real-world settings as much as they can, t would therefore increase mundane realism.

Find out more on mundane realism at brainly.com/question/13981459.

#SPJ12

3 0

2 years ago

Hokey Min's Kleen Karpet cleaned 85 rugs in October, consuming the following resources:Labor: 525 hours at $17 per hourSolven

Viefleur [7K]

Answer:

(a) The Labor productivity per dollar = 0.0095 rugs/dollar.

(b) The Multifactor productivity = 0.0078 rugs/dollar.

Explanation:

Given information:

Number of rugs = 85

Labors: 525 hours at $17 per hour.

Total cost of labors = 525 × 17 = $8925

Solvent: 120 gallons at $8 per hour.

Total cost of solvent = 120 × 8 = $960

Machine Rental: 20 days at $50 per hour.

Total rent = 20 × 50 = $1000

Total cost = Total cost of labors + Total cost of solvent + Total rent

Total cost = $8925 +$960 +$1000 =$10885

(a)

We need to find Labor productivity per dollar.

$\text{Labor productivity}=\frac{outpu t}{\text{Labor cost}}$

$\text{Labor productivity}=\frac{85}{8925}$

$\text{Labor productivity}=0.0095238$

$\text{Labor productivity}\approx 0.0095$

Therefore the Labor productivity per dollar = 0.0095 rugs/dollar.

(b)

We need to find the Multifactor productivity.

$\text{Multifactor productivity}=\frac{Outp ut}{\text{Total cost}}$

$\text{Multifactor productivity}=\frac{85}{10885}$

$\text{Multifactor productivity}=0.0078089$

$\text{Multifactor productivity}\approx 0.0078$

Therefore the Multifactor productivity = 0.0078 rugs/dollar.

4 0

4 years ago

50 points

Anna11 [10]

I would go with D because it makes more sense

8 0

3 years ago