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bezimeni [28]
3 years ago
9

The demand for cooldrink is price elastic if

Business
1 answer:
Marizza181 [45]3 years ago
5 0

Answer:

see below

Explanation:

Elastic demand describes a scenario where a small change in price results in a significant difference in the quantity demanded. The term 'elastic ' suggests a moving or a stretching demand. Goods that have many substitutes have an elastic demand.

A product or service will have an elastic demand when a small price change greatly affects consumption. Customers will still seek alternative cheaper options if the price increases, which causes demand to drop significantly. The demand for cooldrink is price elastic if a small change in price results in demand changing considerably.

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What are the principal tools and technologies for accessing information from databases to improve business performance and decis
slamgirl [31]

Answer:

There are many principal tools and technologies for accessing information from databases that help make business performance and decision making better.

Data warehouse:

  • A data warehouse is a big database that houses all the data that is needed to make decisions throughout the whole organization.

How a data warehouse works:

  • The data warehouse first takes all the data from the company's operational systems and combines it with the data that is pulled from outside sources.
  • This collection of data is reformatted into one database that is used for management reporting analysis.

How it benefits organizations:

  • A data warehouse benefits organizations by making data available for anyone to access as needed.
  • This keeps the data information secure and can prevent redundancies or inconsistencies.
  • It ultimately helps management make decisions that will help the company move forward.

Business intelligence:

  • Business intelligence is the term used to describe the data and software tools for organizing, analyzing, and providing access to data in order to help a company make better decisions.
  • The tools give user the opportunity to analyze data in hopes of seeing new patterns and relationship that are useful for better decision making.

How it relates to database technology:

  • The tools for business intelligence consist of software that performs database querying and reporting, multidimensional data analysis, and data mining.
  • The data can be analyzed by the company once it is made available in the data warehouse. Online analytical processing (OLAP):
  • OLAP allows end users to view data in many ways through the support of multidimensional data analysis.
  • Different information on a certain piece of data would be represented in a different dimension. Comment

OLAP capabilities:

  • A multidimensional model can be designed to represent products, regions, actual sales, and projected sales.
  • A matrix of actual sales is put on top of a matrix of projected sales in order to form a cube consisting of six faces.
  • Rotating the cube 90 degrees one way will show the product versus actual and projected sales.
  • Rotating the cube 90 degrees again will show the region versus actual and projected sales.
  • Rotating the cube 180 degrees from the original view will show the projected sales and product versus region.

Data mining:

  • Data mining is defined as a process that provides a business with insights into company data through the searching of patterns and relationships that will help better foresee future behavior.
  • Data mining helps make better decisions and predicts the effects that may result from those said decisions.

How it is different from OLAP:

  • OLAP requires the user to have a good idea about the information for which they are looking.
  • Data mining doesn't require the need to have a good idea about the information for which they are looking.
  • Also, OLAP doesn't have the capabilities to search for hidden patterns and relationships in large databases.

The type of information that data mining provides:

Associations:

  • Occurrences that are connected to a single event.
  • Patterns in sales can be analyzed to provide managers with better decision making.

Sequences:

  • Occurrences when events are connected over time.

Classifications:

  • The recognition of patterns and relationships that define the group to which an item belongs.
  • Classification helps discover the characteristics of a customer so that managers will be able to come up with ways to keep those customers from leaving.

Clusters:

  • Similar to how classifications operate except for the fact that groups haven't been defined.
  • Clusters make it possible to discover different groupings in the company data.

Forecasts:

  • Forecasts make predictions by using existing values to predict what other values will be.
  • Forecasting provides a way for the company to predict the values of their sales figures.

Text mining:

  • Tools for analyzing data that work by obtaining important elements from unorganized data sets, finding patterns, and summarizes the data so that a company can make better decisions for the business.

Web mining:

  • Web mining is defined as the analysis of patterns and relationships from the World Wide Web.  

How they differ from conventional data mining:

  • Conventional data mining finds patterns and relationships in information that is structured.  

The way that users can access information from a company's internal databases through the Web:

  • A user can access information from a company's internal databases through the Web is by using Web browser software on their PC.
  • The requests are done by using HTML commands to communicate with the Web server.
  • The Web server passes the requests for data to software that translates HTML commands into structured query language (SQL) so that they can be processed by the DBMS working with the database.
  • The DBMS receives the SQL requests and provides the needed data.

8 0
3 years ago
Sales at a fast-food restaurant average $6,000 per day. The restaurant decided to introduce an advertising campaign to increase
zimovet [89]

Answer: a. 2.8

Explanation:

Given : Population mean : \mu=\$6,000\text{ per day}

Sample size : n= 49> 30 , the sample is a large sample  we use z-test.

Sample mean = \overline{x}=\$6,400\text{ per day}

Standard deviation : \sigma= \$1,000

The test statistic for population mean is given by :-

z=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}\\\\\Rightarrow\ z=\dfrac{6400-6000}{\dfrac{1000}{\sqrt{49}}}=2.8

Hence, the value of the test statistic is 2.8

8 0
3 years ago
A national health care plan would also control the wildly escalating cost of prescription drugs. This would particularly benefit
Kamila [148]

Pathos. The author is trying to connect and persuade the audience through an emotional truth and reality.

8 0
3 years ago
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Jet001 [13]
The answers here would probably be B. and D. When you have a college degree, you make more money and you often have more job security, but there aren't any tax exemptions, and consumer decision making isn't effected<span />
6 0
3 years ago
Sales and costs are projected to grow at 20% a year for at least the next 4 years. Both current assets and accounts payable are
shusha [124]

Question Completion:

The 2017 financial statements for Growth Industries are presented below  

INCOME STATEMENT, 2017  

Sales $ 380,000  

Costs 240,000  

EBIT $ 140,000  

Interest expense 28,000  

Taxable income $ 112,000  

Taxes (at 35%) 39,200

Net income $ 72,800  

Dividends 21,840

Addition to retained earnings 50,960  

BALANCE SHEET, YEAR -END, 2017  

Assets    

Current assets  

Cash      $ 7,000      

Accounts receivable 12,000

Inventories 31,000

Total current assets $ 50,000  

Net plant and equipment 320,000

Total assets $ 370,000

Liabilities

Current liabilities

Accounts payable $ 14,000

Total current liabilities $14,000

Long-term debt Stockholders' equity 280,000

Common stock plus additional paid-in capital 15,000

Retained earnings 61,000  

Total liabilities and stockholders' equity $ 370,000

Answer:

Growth Industries

The required external financing over the next year is:

= $16,600.

Explanation:

a) Data and Calculations:

Sales and costs projected growth rates = 20%

Current assets and accounts payable growth rates = 20%

Fixed assets growth rates = 20%

Interest expense = 10% of long-term debt outstanding

Dividend payout ratio = 0.40

INCOME STATEMENTs,               2017        Projected

Sales                                      $ 380,000   $456,000 ($380,000 * 1.2)

Costs                                        240,000      288,000 ($240,000 * 1.2)

EBIT                                        $ 140,000    $168,000

Interest expense                       28,000        28,000

Taxable income                     $ 112,000    $140,000

Taxes (at 35%)                          39,200        49,000

Net income                            $ 72,800      $91,000

Dividends                                   21,840       36,400

Addition to retained earnings 50,960    $54,600

Retained earnings, 2017  $61,000

Projected addition             54,600

Retained earnings,         $115,600

BALANCE SHEET, YEAR -END, 2017  

Assets                                                                2017   Projected

Current assets  

Cash                                                               $ 7,000      $8,400 ($7,000*1.2)

Accounts receivable                                       12,000       14,400 (12,000*1.2)

Inventories                                                      31,000      37,200 (31,000*1.2)

Total current assets                                   $ 50,000   $60,000

Net plant and equipment                           320,000    384,000 ($320,000*1.2)

Total assets                                             $ 370,000 $ 444,000

Liabilities

Current liabilities

Accounts payable                                     $ 14,000      $16,800 ($14,000*1.2)

Total current liabilities                               $14,000      $16,800

Long-term debt Stockholders' equity     280,000     280,000

Common stock plus

additional paid-in capital                           15,000        15,000

Retained earnings                                      61,000      115,600

Total liabilities

and stockholders' equity                    $ 370,000  $427,400

External Financing Required = Assets - Liabilities & equity

Assets =                    $444,000

Liabilities + Equity = $427,400

External financing      $16,600

5 0
2 years ago
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