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Alborosie
3 years ago
8

Suppose that Rihanna sells​ 1,000 tickets to a concerts at​ $480 each. If the equilibrium price is​ $600 per ticket for a fixed

supply of​ 1,000 tickets, what is the value of the additional economic rent that Rihanna could earn if she charged the market clearing​ price?
Business
1 answer:
disa [49]3 years ago
7 0

Answer:

$120,000

Explanation:

Calculation of the value of the additional economic rent that Rihanna could earn if she charged the market clearing​ price

The first step to find the total amount of the tickets that Rihanna sold

Since we were told that she sells 1,000 tickets to a concert at $480, this means the total amount will be:

Total amount = 1,000 * $480

= $480,000.

Since the Supply is fixed for 1,000 tickets and equilibrium price per each ticket is $600 which means the total amount will be calculated as :

Total amount = 1,000 * $600

= $600,000.

The last step is to find the additional economic rent

Additional economic rent=$600,000 - $480,000

Additional economic rent=$120,000.

Therefore the value of the additional economic rent will be $120,000

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Warren and shirley want to avoid having a balance due next year. which of the following can they do
Vinil7 [7]
Warren can submit Form W-4V to have taxes withheld from his Social Security is <span>Warren and shirley want to avoid having a balance due next year. 

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3 0
3 years ago
. What are the requirements for successful price discrimination? Does this type of dry cleaning qualify?
gayaneshka [121]

Answer:

Q1.

Requirements for the successful price discrimination

The following conditions must be met for price discrimination to be successful:

1.Firms must be able to control supply. I.e, there should be regulation on supply of products to avoid surplus which will force the price down

2.Firms must prevent resale of products from one buyer to another.

3.There must be a difference in price elasticities in the different markets for the product.

Yes, Dry Cleaning qualifies for price discrimination because it may be on first come first serve bases. Meanwhile, when the client needs the service urgently, the price for same service may increase which results in price discrimination.

Q2.

Other examples of price discrimination

Example of price discrimination are

1. The cost of movie tickets in a cinema: Prices at one theater are different for children, adults, and seniors. Also, the price may also vary due to preferential treatment given to VIP to watch same movie with other. Some cinema houses also give less privilege people or people with special needs such as albinos lesser prices. The prices of each ticket can also vary based on the day and chosen show time. Ticket prices also vary depending on the portion of the country as well.

2. Industries use price discrimination as a way to increase revenue. It is possible for some industries to offer retailers different prices based solely on the volume of products purchased. Price discrimination can also be based on age, location, desire for the product, and customer wage.

3.Airline travel and time of departure: Airlines charge different prices depending on the season, time of the flight and day of the week. During the peak holiday season, the prices will be higher because demand is greater and more inelastic. Airplanes also offer numerous ways to charge different prices for privileges like choosing a seat early or priority check-in. These perks are a way of extracting higher prices from those who want to pay for extras.

4.Quantity Purchased: Many sellers offer quantity discounts for bulk purchases as a way to get buyers to buy more.

Q3.

It is best left to the market to determine the price because some businesses are seasonal (i.e they are best sold based on season to season) example of such is packaging drinking water during raining season human water consumption is less because the environment is highly humid and people tends to consume lesser water. However, during dry season the sales peaked since there is much need to hydrate the system for healthy functioning of the body. So, if such business is to be regulated, the manufacturer may run at loss.

Women Pays more due to gender pricing because women clothes and hair generally take more time to work with.

8 0
3 years ago
Which is not a type of partnership? limited liability limited cooperative general
joja [24]

Cooperative.............

:D

3 0
3 years ago
The Centers for Disease Control and Prevention (CDC) defines a healthy sleep duration
laiz [17]

a. The point estimate of the married people that sleep well is = 0.6299. The confidence interval for the mean hours of sleep for those that have never been married but report good sleep is 0.6186, 0.6412

b. The point estimate of the number of hours for people that have never been married = 7.2257

95% confidence interval for the mean number of  hours of sleep for those who have never been married = 7.2065, 7.2447

c. the estimated number of sleep for those that have never been married = 7.729 hours

a. The point estimate

P=\frac{Xp}{n}

Xp = successes\\n = sample size\\

Those who have never been married n = 7044

Xp = those who sleep for 7 hours at least

To get Xp, the <u>excel function </u>

Countif(range, criteria)

Countif(A:A, >=7)

This gives Xp = 4437

Point estimate =

\frac{4477}{7044}

= 0.6299

The point estimate of the married people that sleep well is = 0.6299

At 95% interval of confidence,

α = 1-0.95 = 0.05

α/2 = 0.05/2 = 0.025

Z0.025 = 1.96 ( Use the standard probability normal table)

Margin of Error

=M.E = 1.96\sqrt \frac{0.6299(1-0.6299)}{7044} \\\\= 1.96\sqrt{0.000033} \\\\1.96*0.0057

= 0.0113

The 95% confidence interval

= 0.6299 - 0.0113 , 0.6299 + 0.0113

= 0.6186, 0.6412

The confidence interval for the mean hours of sleep for those that have never been married is 0.6186, 0.6412

b. Sample mean

x = ∑x/n

x = number of sleep of the never been married

Mean is calculated using excel function

Average(range)

Average(a:a)

This gives the sample mean = 7.2257

The point estimate of the number of hours for people that have never been married = 7.2257

<u>Standard deviation</u> using excel =

Stdev(A:A) = 0.8211

Margin of error =1.96*\frac{0.8211}{\sqrt{7044} }

= 0.0192

The<u> confidence interval</u> =

= 7.2257-0.0192, 7.2257+0.0192

= 7.2065, 7.2447

95% confidence interval for the mean number of  hours of sleep for those who have never been married = 7.2065, 7.2447

c. From the available data, the mean number of sleep per day that is gotten from the 4437 people that are unmarried and sleep healthily for at least 7 hours = 34295.1

Mean = 34295.1/4437

= 7.729

the estimated number of sleep for those that have never been married = 7.729 hours

Read more on brainly.com/question/15601189?referrer=searchResults

6 0
3 years ago
Robinson Manufacturing found the following information in its accounting​ records: $ 519 comma 800 of direct materials​ used, $
Damm [24]

Answer:

Cost of good manufactured=  $1507100

Explanation:

To calculate the cost of manufactured goods we need to use the following formula:

Cost of good manufactured= Beginning work in progress+ direct materials of the period + direct labor + manufactured overhead - ending work in progress

Beginning work in progress= 72400

Direct materials = beginning inventory + purchase - ending inventory= 519800

Direct labor= 226700

Manufactured overhead= 775800

Ending work in progress= 87600

Cost of good manufactured= 72400 + 519800 + 226700 + 775800 - 87600= $1507100

5 0
3 years ago
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