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Gemiola [76]
3 years ago
12

The new "Hungry for Apples?" campaign has been a resounding success, so that the quantity demanded is now 100% greater than befo

re the ad campaign. If the curve above represents demand after the campaign, what was the original quantity demanded when price was $4.40? a. 100 b. zero c. 50 d. 25
Business
1 answer:
tatiyna3 years ago
4 0

Answer:

Correct option is B.

Original quantity demanded was 25 .

Explanation:

We know that quantity demanded has risen by 100%.

New quantity is double that of the previous quantity.

If new quantity is 50 at P=$4.40, old quantity demanded must be 25.

To check if 25 was the old quantity demanded, ((50-25)/25)*100= 100% increase

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3. State the difference between limited liability and unlimited liability?​
Crank

Answer:

Limited liability means the business owners' liability for debts is restricted to the amount they put into the business. With unlimited liability, the business owner is personally responsible for any loss the business makes.

Explanation:

3 0
2 years ago
What are three ways that can ensure your message is clear and not misnunderstood?
N76 [4]
Your communication style matches theirs

ask them what they heard. how they might explain it to others

keep your message on one subject. don't confuse the subject with multiple ideas
4 0
3 years ago
A company is considering the purchase of a new machine for $48,000. Management expects that the machine can produce sales of $16
Diano4ka-milaya [45]

Answer:

False

Explanation:

Annual cash inflow = Sales revenue - Cash expenses

Annual cash inflow = $16,000 - $8,000

Annual cash inflow = $8,000

Cost of machine = $48,000

Payback period = Cost of machine/Annual cash inflows

Payback period = $48,000/$8,000

Payback period = 6 years

So, the payback period for the machine is 6 years.

7 0
2 years ago
Weekly demand for tennis balls at The Racquet Club is normally distributed , with a mean of 35 cases and a standard deviation of
RideAnS [48]

Answer:

a-The average weekly profit is $1767.31

b- The probability of having a weekly profit of more than 2000 is 0.1587 or 15.87%.

Explanation:

a

The weekly average profit for the simulation is given where first the values are simulated using R which is given as below:

x<-round(rnorm(n,m,s))

Here

  • round converts all the values of the simlation to integer.
  • rnorm is the command for simulation
  • n is the number of values which is 52 in this case
  • m is the mean of the values which is 35
  • s is the value of standard deviation which is 5 cases.

The values of x are as follows

[1] 36 49 30 29 34 36 32 28 32 29 32 27 40 32 30 37 43 30 42 30 31 34 36 38 28 29 32 42 36 35

[31] 37 41 34 39 37 46 34 44 45 41 41 29 36 38 35 32 36 39 30 38 40 27

Now using these values, the average of the simulation values is cacluated as follows:

mean(x)

35.3462

Now using this with the value of profit of $50 gives:

Average Profit=$50 x 35.3462

Average Profit=$1767.31

The average weekly profit is $1767.31

b-

First number of cases are required so that the value will be greater than 2000 it is given as

Number of cases=2000/50=40

So firstly the Z-score is calculated which is as below:

Z=\dfrac{x-\mu}{\sigma}\\Z=\dfrac{40-35}{5}\\Z=1

Now the probability is given as

P(X\geq 40)=P(Z\geq 1)\\P(X\geq 40)=1-P(Z< 1)

The value of P(Z<1) is calculated from the table which is given as

0.84134

So the equation becomes

P(X\geq 40)=1-P(Z< 1)\\P(X\geq 40)=1-0.8413\\P(X\geq 40)=0.1587

So the probability of having a weekly profit of more than 2000 is 0.1587 or 15.87%.

4 0
3 years ago
An 11.0-W energy-efficient fluorescent lightbulb is designed to produce the same illumination as a conventional 40.0-W incandesc
Viktor [21]

Answer:

40-11 = 29----- 29 *240h = 6960 w = 6.96 kw

0.113 * 6.96 = 0.78648 $

8 0
3 years ago
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