Questions
On October 1, 2016, Adria Lopez launched a computer services company called Success Systems, which provides...

On October 1, 2016, Adria Lopez launched a computer services company called Success Systems, which provides consulting services, computer system installations, and custom program development. Adria adopts the calendar year for reporting purposes and expects to prepare the company's first set of financial statements on December 31, 2016. The company's initial chart of accounts and transactions follows. Account No. Account No. Cash 101 Common Stock 307 Accounts Receivable 106 Dividends 319 Computer Supplies 126 Computer Services Revenue 403 Prepaid Insurance 128 Wages Expense 623 Prepaid Rent 131 Advertising Expense 655 Office Equipment 163 Mileage Expense 676 Computer Equipment 167 Miscellaneous Expenses 677 Accounts Payable 201 Repairs Expense - Computer 684 Oct. 1 Adria Lopez invested $55,000 cash, a $20,000 computer system, and $8,000 of office equipment in the company in exchange for its common stock. The company paid $3,300 cash for four months' rent. (Hint: Debit Prepaid Rent for $3,300.) The company purchased $1,420 of computer supplies on credit from Harris Office Products. The company paid $2,220 cash for one year's premium on a property and liability insurance policy. (Hint Debit Prepaid Insurance for $2,220.) The company billed Easy leasing $4,800 for services performed in installing a new Web server. 8 The company paid $1,420 cash for the computer supplies purchased from Harris Office Products on October 3. 10 The company hired Lyn Addie as a part-time assistant for $125 per day, as needed. 12 The company billed Easy leasing another $1,400 for services performed. 15 The company received $4,800 cash from Easy Leasing as partial payment on its account. 17 The company paid $805 cash to repair computer equipment that was damaged when moving it. 20 The company paid $1,940 cash for advertisements published in the local newspaper. 22 The company received $1,400 cash from Easy Leasing on its account. 28 The company billed IFM Company $5,208 for services performed. 31a The Company paid $875 cash for Lyn Addie's wages for seven days' work. 31b The Company paid $3,600 cash in dividends. Nov. 1 The Company reimbursed Adria Lopez in cash for business automobile mileage allowance (Lopez logged 1,000 miles at $0.32 per mile). 2 The company received $4,633 cash from Liu Corporation for computer services performed. 5 The company purchased computer supplies for $1,125 cash from Harris Office Products. 8 The company billed Gomez Co. $5,668 for services performed. 13 The company received notification from Alex's Engineering Co. that Success Systems' bid of $3,950 for an upcoming project is accepted. 18 The company received $2,208 cash from IFM Company as partial payment of the October 28 bill. 22 The company donated $250 cash to the United Way in the company's name. The company completed work for Alex's Engineering Co. and sent it a bill for $3,950. The company sent another bill to IFM Company for the past-due amount of $3,000. 28 The company reimbursed Adria Lopez in cash for business automobile mileage (1,200 miles at $0.32 per mile). 30a The Company paid $1,750 cash for Lyn Addie's wages for 14 days' work. 30b The Company paid $2,000 cash in dividends. Required: Using Micro Soft Excel and Word: Prepare journal entries to record each of the above transactions for Success Systems. (If no entry is required for a particular transaction, select "No journal entry required” in the first account field.) Post the journal entries to ledger accounts. (Add additional ledger accounts when necessary.) Prepare a trial balance as of the end of November. (Trial Balance total $ 108,659) (Be sure to show formulas in your worksheets.) This question has been posted but the answer is wrong please review and help thanks I found the mistake in the answer the 11/2 transaction shoud be cash debit revenue credit your welcome!

In: Accounting

            Develop a simple linear regression model to predict the price of a house based upon...

  1.             Develop a simple linear regression model to predict the price of a house based upon the living area (square feet) using a 95% level of confidence.
  1.             Write the reqression equation
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence.
  4.             Interpret the coefficient for the independent variable.
  5.             What percentage of the observed variation in housing prices is explained by the model?
  6.              Predict the value of a house with 3,000 square feet of living area.
  1.             Develop a simple linear regression model to predict the price of a house based upon the number of bedrooms using a 95% level of confidence.
  1.             Write the reqression equation
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence.
  4.             Interpret the coefficient for the independent variable.
  5.             What percentage of the observed variation in housing prices is explained by the model?
  6.              Predict the value of a house with 3 bedrooms.
  1.             Develop a simple linear regression model to predict the price of a house based upon the number of bathrooms using a 95% level of confidence.
  1.             Write the reqression equation
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence.
  4.             Interpret the coefficient for the independent variable.
  5.             What percentage of the observed variation in housing prices is explained by the model?
  6.              Predict the value of a house with 2.5 bathrooms.
  1.             Develop a simple linear regression model to predict the price of a house based upon its age using a 95% level of confidence.
  1.             Write the reqression equation
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for the independent variable using the appropriate regression statistic at a 95% level of confidence.
  4.             Interpret the coefficient for the independent variable.
  5.             What percentage of the observed variation in housing prices is explained by the model?
  6.              Predict the value of a house that is 50 years old.
  1.             Compare the preceding four simple linear regression models to determine which model is the preferred model. Use the Significance F values, p-values for independent variable coefficients, R-squared or Adjusted R-squared values (as appropriate), and standard errors to explain your selection.
  2.             Calculate the predicted sale price of a 50 year old house with 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms using your preferred regression model from part 5.

Prepare a single Microsoft Excel file, using a separate worksheet for each regression model, to document your regression analyses. Prepare a single Microsoft Word document that outlines your responses for each portions of the case study.

Selling Price        Age (Years)         Living Area (Sq Feet)       No. Bathrooms No Bedrooms

$92,000                 18           1,527     2              4

$211,002              0              2,195     2.5          4

$115,000              14           1,480     1.5          3

$113,000              53           1,452     2              3

$216,300              0              2,360     2.5          4

$145,000              32           1,440     1              3

$114,000              14           1,480     2.5          2

$139,050              125         1,879     2.5          3

$104,000              14           1,480     1.5          3

$169,900              11           1,792     2.5          3

$177,900              2              1,386     2.5          3

$133,000              14           1,676     2              2

$185,000              0              768         2              4

$115,000              16           1,560     1.5          3

$100,000              91           1,000     1              3

$117,000              15           1,676     1.5          4

$150,000              11           1,656     1.5          3

$187,500              11           2,300     1.5          3

$107,000              25           1,712     1              3

$126,900              26           1,350     1.5          3

$147,000              15           1,676     2.5          3

$62,000                 103         1,317     1.5          3

$101,000              30           1,056     2              3

$143,500              13           912         1              3

$113,400              18           1,232     2              2

$112,000              36           1,280     1              3

$112,500              43           1,232     1              3

$97,000                 45           1,406     1.5          3

$121,000              6              1,164     2              3

$65,720                 123         1,198     1              3

$225,000              10           2,206     2.5          4

In: Math

Question Objective: The objective of this lab exercise is to give you practice in programming with...

Question

Objective:

The objective of this lab exercise is to give you practice in programming with one of Python’s most widely used “container” data types -- the List (commonly called an “Array” in most other programming languages). More specifically you will demonstrate how to:

  1. Declare list objects
  2. Access a list for storing (i.e., writing) into a cell (a.k.a., element or component) and retrieving (i.e., reading) a value from a list cell/element/component
  3. Iterate through a list looking for specific values using a forin loop repetition construct
  4. Pass an entire list argument to a function
  5. Process a list parameter received by a function

Discussion:     

For this exercise you will be simulating a Weather Station responsible for recording hourly temperatures and reporting on certain characteristics (e.g., average temperature) from your recordings. You will also be expanding on your experience in creating functions and passing them more complex parameters (i.e., complete list arguments – sometimes empty and sometimes full).

Specifications:

DDI&T a Python program to input, store, and process hourly temperatures for each hour of the day (i.e., 24 temperatures). Your program should be divided logically into the following parts:

  1. In function main() declare an empty List container:

         HourlyTemperatures = []    

  1. Pass the empty HourlyTemperatures list to a function,

GetTemperatures(HourlyTemperatures)

         This function must interactively prompt for and input temperatures for each of the 24 hours in a day (0 through 23). For each temperature that is input, verify that its value lies in the range of minus 50 degrees and plus 130 degrees (i.e., validate your input values). If any value is outside the acceptable range, ask the user to re-enter the value until it is within this range before going on to the next temperature (HINT: use a nested loop (e.g., Python’s equivalent to a do-while loop) that exits only when a value in the specified range has been entered). Store each validated temperature in its corresponding element of the list container passed as a parameter to the function (Hint: Look at the ‘append(…)’ function that can be called on a list container).

  1. Next pass the filled list container to a function,

ComputeAverageTemp(HourlyTemperatures)

         This function computes the average temperature of all the temperatures in the list and returns this average to the calling function.

  1. Finally, pass the filled list container and the computed average temperature to another function,

                  DisplayTemperatures(HourlyTemperatures, AverageTemp)

         which displays the values of your temperature list in a columnar format followed by the values for the high temperature, low temperature, and average temperature for the day.  NOTE: If you want to create separate function(s) to find and return the high and low temperature values, then feel free to do so!

The resulting output should look something like this:

Hour                          Temperature

00:00                                42

01:00                                42

. . . . .                                . . . // Your program output must include all of these too!

22:00                                46

23:00                                48

High Temperature:          68

Low Temperature:           42

Average Temperature:    57.4

5.      Since you have several created functions to perform each of the major steps of your solution, your main(): function should be quite simple. The pseudo code for main() might look something like this:

                  main()

                       #declare any necessary variable(s) and HourlyTemperatures list

                       while user-wants-to-process-another-days’-worth-of-temperatures

                           call GetTemperatures(HourlyTemperatures)

                                 call ComputeAverageTemp(HourlyTemperatures)

                                 call DisplayTemperatures(HourlyTemperatures, AverageTemperature)

                                 ask if user want to process another days’ worth of temperatures

6.      Test your program with at least two (2) different sets of temperatures. Make sure you enter values to adequately test your temperature-validation code (e.g., temperatures below –50 and above +130 degrees).

Deliverable(s):

Your deliverable should be a Word document with screenshots showing the sample code you have created, and discuss the issues that you had for this project related to AWS and/or Python IDE and how you solved them.

Turn in the properly documented source listing of your program and complete outputs from at least TWO (2) test “runs”. Additionally, turn in screen captures of some of your interactive inputs demonstrating that your program properly detects invalid inputs and prompts the user to re-enter the temperature(s).

In: Computer Science

Selling Price        Living Area (Sq Feet)       No. Bathrooms No Bedrooms    Age (Years) $240,000            &nbs

Selling Price        Living Area (Sq Feet)       No. Bathrooms No Bedrooms    Age (Years)

$240,000              2,022     2.5          3              20

$235,000              1,578     2              3              20

$500,075              3,400     3              3              20

$240,000              1,744     2.5          3              20

$270,000              2,560     2.5          3              20

$225,000              1,398     2.5          3              20

$280,000              2,494     2.5          3              20

$225,000              2,208     2.5          4              20

$248,220              2,550     2.5          3              20

$275,000              1,812     2.5          2              20

$137,000              1,290     1              2              20

$150,000              1,172     2              2              20

$649,000              4,128     3.5          3              20

$195,000              1,816     2.5          3              97

$373,200              2,628     2.5          4              20

$169,450              1,254     2.5          3              20

$144,200              1,660     1.5          4              20

$189,900              1,850     1.5          3              20

$166,000              1,258     2              3              20

$160,000              1,219     2              3              20

$327,355              1,850     2.5          3              20

$247,000              2,103     2.5          3              20

$318,000              1,806     2.5          3              20

$341,000              1,674     1.5          2              17

$288,650              2,242     2.5          3              20

$157,000              1,408     1.5          3              20

$449,000              3,457     2.5          3              21

$142,000              1,728     1.5          3              21

$389,000              2,354     2.5          3              21

$476,000              2,246     2.5          3              21

$249,230              1,902     2.5          2              21

$139,900              1,178     1              3              21

$301,900              2,896     3.5          4              21

$425,000              2,457     3              3              41

$121,000              936         1              3              50

$150,000              934         1              2              21

$138,000              1,279     1              3              21

$199,900              1,888     2              3              26

$145,000              1,686     1.5          4              21

$465,000              2,310     3              2              21

$158,000              1,200     1.5          3              21

  1.             Develop a multiple linear regression model to predict the price of a house using the square feet of living area, number of bedrooms, number of bathrooms, and age as the predictor variables.
  1.             Write the reqression equation.
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for each independent variable using the appropriate regression statistics at a 95% level of confidence.
  4.             Discuss the statistical significance of the coefficient for each independent variable using the appropriate regression statistics at a 90% level of confidence.
  1.             Develop a multiple linear regression model to predict the price of a house using the square feet of living area, number of bedrooms, and number of bathrooms as the predictor variables.
  1.             Write the reqression equation.
  2.             Discuss the statistical significance of the model as a whole using the appropriate regression statistic at a 95% level of confidence.
  3.              Discuss the statistical significance of the coefficient for each independent variable using the appropriate regression statistics at a 95% level of confidence.
  4.             Interpret the coefficient for each independent variable.
  5.             What percentage of the observed variation in housing prices is explained by the model?
  6.              Determine the prediction interval of a house with 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms, and comment on the prediction interval.
  1.             In Case Study No.1 you ran a simple linear regression model for predicting the price of a house based upon its living area in square feet using a 95% level of confidence. Rerun that simple linear regression model for predicting the price of a house based upon its living area in square feet using the Case study 2 data using a 95% level of confidence. Compare the regression statistics for this simple linear regression model with the statistics for the preceding multiple linear regression model using square feet of living area, number of bedrooms, and number of bathrooms as the predictor variables. Which model is the preferred model at a 95% level of confidence? Use the Significance F values, p-values for the independent variables, R-squared or Adjusted R-squared values (as appropriate), and standard errors to explain your selection.

Prepare a single Microsoft Excel file to document your regression analyses. Prepare a single Microsoft Word document that outlines your responses for each portion of the case study.

In: Math

INSTRUCTIONS: READ THE FOLLOWING SITUATION AND ANSWER THE QUESTIONS ARISING FOR THE CASE ANALYSIS. “STONYFIELD FARM...

INSTRUCTIONS: READ THE FOLLOWING SITUATION AND ANSWER THE QUESTIONS ARISING FOR THE CASE ANALYSIS.

“STONYFIELD FARM GOES TO THE BLOGS”

The Stonyfield Farm story is a kind of legend. In 1983, friends and social activists Gary Hirschberg and Samuel Kaymen started with a good yogurt recipe, seven cows, and a dream. They established an organic yogurt company in Wilton, New Hampshire, to take advantage of baby boomers' growing concerns about natural foods and health, and to revitalize the dairy industry in New England. Stonyfield Farms has grown to become the third largest organic company in the world, with annual sales of more than $ 50 million in 50 states. It produces more than 18 million glasses of yogurt each month.

Stonyfield Farrn's spectacular growth is attributable in part to its ability to offer a product to a special niche market - people who value healthy food and want to protect the environment. These values ​​have become part of the "personality" of the company. Stonyfleld promises to use only natural ingredients and milk that has not been produced with antibiotics, synthetic growth hormones, or pesticides or toxic fertilizers. The company donates 10 percent of its profits each year to projects that help protect or restore the planet.

As the company expanded, management feared that it might lose touch with its loyal and committed customer base. Advertising based on traditional media was expensive and did not really help the company to "connect" with the kind of people it was trying to reach. This company prefers word-of-mouth techniques that deliver its message to customers in ways more compatible with its popular, organic, and activist-friendly image.

Stonyfield has multiple active email newsletters with more than 500,000 subscribers, and typically posts messages promoting causes that he supports on the tops of his yogurt glasses. Now she's turning to blogging to further personalize her customer relationships and reach even more people. Inspired by Howard Dean's presidential campaign and Dean's blogger tutorials, CEO Hirschberg became convinced that Stonyfield could use blogging to create a more personal relationship with consumers, different from the traditional sales relationship. "Blogs give us what we call a handshake with consumers" and "a little more access to us

Stonyfield now publishes two separate blogs on his website — Baby Babble and Bovine Bugle. At one time Stonyfield was running five blogs, but decided to withdraw three of them because they weren't attracting enough readers. Baby Babble provides a forum for Stonyfield employees and other parents of young children to meet and discuss child development and balance work with the family. Stonyfield created that blog because baby yogurts are one of its most popular product lines, and parenting blogs seem to appeal to a large number of readers. The Bovine Bugle provides reports about Jonathan's Organic Dairy Farm. Gates in Franklin, Vermont, a member of the organic cooperative that supplies milk for Stonyfield products.
This blog sparks a large number of nostalgic comments from readers who remember their childhood on a farm. As organic food grows in importance, these blogs help the company showcase the aspects that make it different from other brands and invite customers to help them in this endeavor. Stonyfield continually posts new content to each of the blogs. Readers can subscribe to any of them and automatically receive updates when available. And of course they can reply to these posts.
The benefits of blogging for Stonyfield have not yet been quantified so far, but management is confident there are real benefits. Blogs have created a positive response for the Stonyfield brand by providing readers with something that inspires them or sparks their interest -If blogs give new information to readers, inspire them to protect the environment or ask them for opinions, the administration believes that They will remember the brand when they are in front of the yogurt shelves in the supermarket or grocery store and that they will take a Stonyfleld product instead of a competitor when it is time to choose. Stonyfield has a fairly large website. Blogs offer a way to highlight some of the content on the Web that would otherwise be lost. This, too, helps drive some blog readers to buy Stonyfield products.
IV. What benefits does the introduction of an intranet and extranet bring to a company? Indicate and explain. 

In: Operations Management

ASC 250 “Accounting Changes and Error Corrections”             This case clarified the treatment of accounting changes...

ASC 250 “Accounting Changes and Error Corrections”

            This case clarified the treatment of accounting changes after acquisitions. As we have seen, FASB’s guidance comes through ASC 805 “Business Combinations.” However, the guidance for other types of accounting changes is in ASC 250 “Accounting Changes and Error Corrections.” This section will integrate accounting changes after an acquisition with the accounting changes listed in ASC 250.

            ASC 250 lists four types of accounting changes.

Change in Accounting Principle – for example, a new revenue-recognition standard

Change in Accounting Estimate – for example, change in estimated useful life of a depreciable asset

Change in Reporting Entity

Correction of an Error in previously issued financial statements – for example, last period’s inventory and therefore retained earnings were overstated

            One particularly confusing element of ASC 250 is the category called “change in reporting entity.” To the unwary observer this sounds a lot like an acquisition, but that is actually not the case. The reason that the distinction is critical is that ASC 250 prescribes a retroactive accounting to “change in reporting entity,” but as we just saw the accounting treatment for acquisitions is prospective, with only limited pro-formal retroactive disclosures.

            The key accounting question for these four types of changes and errors is whether the change is accounted for retrospectively or prospectively. In the former case, we adjust previous financial statements to reflect the new information. In the latter case, we make no adjustments to previous financial statements.

            To help you become more familiar with these terms and the requirements of the codification, Work Schedule 6 lists the four scenarios covered by ASC 250. As the schedule shows, three of the four scenarios are treated retrospectively, including a “change in reporting entity.” To gain a better understanding of what retrospective and prospective means, please identify the paragraph number that prescribes the appropriate accounting treatment (retrospective or prospective) to the four scenarios. Although you are only asked to identify the paragraph number, it is suggested that you also identify the specific word(s) in the paragraph that indicate retrospective or prospective treatment for each of the four types of changes.

Work Schedule 6. ASC 250 “Accounting Changes and Error Corrections”.

For:

Accounting Treatment

Paragraph Number

Change in Accounting Principle

Retrospective

Indicate the paragraph number in the box above and copy and paste the paragraph and highlight/underline the words indicating retrospective application.

Change in Accounting Estimate

Prospective

Indicate the paragraph number in the box above and copy and paste the paragraph and highlight/underline the words indicating prospective application.

Change in Reporting Entity

Retrospective

Indicate the paragraph number in the box above and copy and paste the paragraph and highlight/underline the words indicating retrospective application.

Correction of an Error

Retrospective

Indicate the paragraph number in the box above and copy and paste the paragraph and highlight/underline the words indicating retrospective application.

            As the schedule indicates, changes and corrections are accounted for retrospectively, with the exception of a change in estimate which is accounted for prospectively. Our focus here is to clarify that changes in accounting entity does not cover acquisitions. According the ASC 250-10-34-21, “Changes in Accounting entity” consists of an accounting change that results in a “different reporting entity”. To the casual observer, acquisitions would seem to fit this category, with the requirement of retroactive restatement of all prior periods as if the acquired company had always been a part of the acquirer. However, this is not the case, as ASC 250-10-20 indicates (emphasis added):

A change in reporting entity is limited mainly to the following:

Presenting consolidated or combined financial statements in place of financial statements of individual entities

Changing specific subsidiaries that make up the group of entities for which consolidated financial statements are presented

Changing the entities included in combined financial statements.

            Item (b) at first view seems to include acquisitions, however the codification adds the following exclusionary statement:  

Neither a business combination accounted for by the acquisition method nor the consolidation of a VIE pursuant to topic 810 is a change in reporting entity.

            To summarize, “change in reporting entity”, which are accounted for retroactively, relates to the decision to consolidate existing subsidiaries (a topic that is sometimes covered in a senior-level accounting course). It does not relate to newly-acquired subsidiaries, which are accounted for prospectively with limited retrospective disclosures. The main takeaway is that acquisitions are not covered by “change in reporting entity” and receive prospective accounting treatment with only limited retrospective disclosures.

In: Accounting

Week 4 Assignment HTML – Creating a Simple Web Page “HTML or HyperText Markup Language as...

Week 4 Assignment
HTML – Creating a Simple Web Page

“HTML or HyperText Markup Language as it is formally known is the main markup language for creating web pages and other information that can be displayed in a webbrowser”. It was created by Tim Berners-Lee in 1989 as a user friendly way of sharing information on the Internet.

http://en.wikipedia.org/wiki/HTML

Assignment Instructions - Create a simple HTML Web Page that includes hyperlinks to three of your favorite websites. Use the online HTML Tryit Editor linked below to prototype your page using Steps 1 to 4 to get you started.

http://www.w3schools.com/html/tryit.asp?filename=tryhtml_basic

Your completed HTML Web Page for this assignment should incorporate elements from each of the four Steps below. When you are finished simply submit you HTML code via the designated assignment link. The content and design of your web page is up to you. It does not need to be elaborate or complicated. We are suggesting a simple web page with links to your three favorite web sites. You can use a different motif if you like – just be sure your web page includes at least three hyperlinks. Your goal is to incorporate the HTML tag elements below to creating your web page. Try to be creative and have fun with this. Feel free to experiment and include more advance HTML tags if you like. There are numerous HTML tutorials that you can Google for or watch on Youtube.

To get started, we suggest you copy and paste the HTML Code elements from each of the four steps below to the left side of the Tryit Editor (linked above). After you copy and paste each element you will need to click the ‘Submit Code’ button in the Tryit Editor to see the result. Try each additional HTML tag as outlined in steps 2 to 4 below. Add these commands to the Step 1 code below. Be sure to copy and paste each new HTML command inside the body of the Step 1 program (as has been done with the <h1> header tag pair</h1> in Step 1).

Step 1: Copy and paste the HTML program below to the Tryit Editor referenced above. This will be your starting HTML Code for your web page. Be sure to click ‘Submit Code’to see the results.

     <html>
     <head>
     <title>This is a title</title>
     </head>
     <body>
     <p>Hello world!</p>
     </body>
     </html>

Step 2: Implement three or more Hyperlinks within the HTML body of your web page as illustrated in the example below. Be sure you paste this HTML statement inside the body in Step 1.

     <a href="http://www.cnn.com"><b>CNN News</b></a>

Step 3: Implement two or more physical style tags in your web page (bold <b>, italics <i>, underline <u>).

     <b> This is Bold </b>

Step 4: Implement a change in text color as illustrated below in your web page. #00ff00 is Green, #0000ff is Blue. See if you can combine colors, i.e. Green & Blue for example is #00ffff. Notice the relative position of the ff characters represent RGB (Red, Green, and Blue).

     <font color="#ff0000"> This is Red! </font>

Finally, just for fun – see if you can implement a Marquee tag. This is a deprecated tag,but it’s still fun to try. Can you nest a font style or font color tag within the Marquee? The Marquee tag is not a required element for your assignment.

     <MARQUEE LOOP="infinite">Your text here</MARQUEE>

Once you are happy with your final HTML document as prototyped in the Tryit Editor you can simply cut and paste your HTML code to a text editor (i.e. Microsoft Word) and save and submit this as a .pdf file using the designated submission link (or you can provide a screenshot).

Please note there is no requirement to actually run your web page in a web browser. If you would like to try and run your html file in a web browser you will need to save your HTML code in a text only format with a file extension of .htm or .html. Use WordPad or Notepad to do this. Then simply double click on the file and your web page should open in your default browser.

In: Computer Science

Washington (CNN)President Donald Trump imposed tariffs on French wine, Italian cheese, and single malt Irish whiskey...

Washington (CNN)President Donald Trump imposed tariffs on French wine, Italian cheese, and single malt Irish whiskey last year -- and could escalate them by the end of the week. That's worrying owners of specialty shops, restaurants and importers, some of whom have already raised prices on customers. "We're faced with a big dilemma. How much can we raise prices without losing our customer base," said Lou Di Palo, who runs the 110-year-old Di Palo's in Manhattan with his family. Most of what they sell, including cheeses, meats and wine, is imported from Italy -- and that's not something Di Palo intends to change to avoid the cost of the tariff. "If we have to shift a large portion of our inventory to American-made cheeses, then we'd be just like every other supermarket. That's not what people travel to Di Palo's for," he said. In October, the administration imposed a 25% tariff on a variety of goods worth $7.5 billion in retaliation for the subsidies Europe provided to aircraft maker Airbus. But since then, the administration has threatened to hike the rate up to 100% because of a lack of progress in resolving the issue. A decision could come this week, when an initial review period ends. Dozens of people testified before a US Trade Representative's Office hearing last month, protesting the European tariffs, as well as an additional set of duties Trump threatened over a French proposed tax on digital services -- which would affect large American tech companies like Facebook and Google. Those tariffs would have hit French champagne and handbags, but Trump and French President Emmanuel Macron have since agreed to a temporary truce. The Trump administration is targeting the iconic European goods, as well as imposing tariffs on aircraft in retaliation. Still, many of those who testified expressed frustration that wine, for example, was being taxed over an issue that had nothing to do with them. "It can be hard for customers to understand why these retaliatory tariffs are impacting their lives," said Amanda Smeltz, the wine director at Manhattan restaurants estela and Altro Paradiso, whose owner recently sent emails to customers asking them to submit written comments to USTR. It argued that the tariffs would make it hard for small businesses to survive. Smeltz fears that if a 100% tariff is imposed, certain items will disappear from the American market. "If you ever enjoyed a beautiful whiskey from Ireland or a fine bottle of wine on your birthday -- you can kiss those things goodbye," she added. The Trump administration is allowed to revise the tariffs every six months, changing the products included and the rate of the duty. That makes it hard for businesses to plan for the future. "We just don't know what's going to happen and its debilitating for our business," said Tom Gellert, principal of the Gellert Global Group, which owns five US-based food importing companies, including one of the biggest importers of cheese. The company has also paid new tariffs on cheeses from a variety of European countries as well as other products like olive oil from Spain, amounting to a total of $3 million since October 18. It has postponed making new capital investments in a cheese facility in New Jersey until there is more trade certainty.

  1. Summary. Write  a paragraph  that summarizes the main ideas in the article. You do not have to account for every single fact, just provide a fairly complete description of the general themes.  Your summary should be  well-structured  with appropriate punctuation.  
  2. Model. Provide an economic model/theory ( fiscal policy, monetary policy, international trade, economic growth, etc.) and economic analysis of the article using the economic model/thoery that you chose.  Do not re-hash your summary.
  3. Graph. Insert an appropriate  graph(s)  of your economic model using MS Word drawing tools (or the equivalent). Please note, graphs showing some data is not an economic model, they are just a convenient way of data representation. You need to include the graph of your economic theory.
  4. Economic implications. Provide an economic implication of the case.

In: Economics

Hi there, please write code in Python 3 and show what input you used for the...

Hi there, please write code in Python 3 and show what input you used for the program. I've been stuck on this for hours!

(1) Prompt the user to enter a string of their choosing. Store the text in a string. Output the string. (1 pt)

Ex:

Enter a sample text:
we'll continue our quest in space.  there will be more shuttle flights and more shuttle crews and,  yes;  more volunteers, more civilians,  more teachers in space.  nothing ends here;  our hopes and our journeys continue!

You entered: we'll continue our quest in space.  there will be more shuttle flights and more shuttle crews and,  yes;  more volunteers, more civilians,  more teachers in space.  nothing ends here;  our hopes and our journeys continue!


(2) Implement a print_menu() function, which has a string as a parameter, outputs a menu of user options for analyzing/editing the string, and returns the user's entered menu option and the sample text string (which can be edited inside the print_menu() function). Each option is represented by a single character.

If an invalid character is entered, continue to prompt for a valid choice. Hint: Implement the Quit menu option before implementing other options. Call print_menu() in the main section of your code. Continue to call print_menu() until the user enters q to Quit. (3 pts)

Ex:

MENU
c - Number of non-whitespace characters
w - Number of words
f - Fix capitalization
r - Replace punctuation
s - Shorten spaces
q - Quit

Choose an option:


(3) Implement the get_num_of_non_WS_characters() function. get_num_of_non_WS_characters() has a string parameter and returns the number of characters in the string, excluding all whitespace. Call get_num_of_non_WS_characters() in the print_menu() function. (4 pts)

Ex:

Number of non-whitespace characters: 181


(4) Implement the get_num_of_words() function. get_num_of_words() has a string parameter and returns the number of words in the string. Hint: Words end when a space is reached except for the last word in a sentence. Call get_num_of_words() in the print_menu() function. (3 pts)

Ex:

Number of words: 35


(5) Implement the fix_capitalization() function. fix_capitalization() has a string parameter and returns an updated string, where lowercase letters at the beginning of sentences are replaced with uppercase letters. fix_capitalization() also returns the number of letters that have been capitalized. Call fix_capitalization() in the print_menu() function, and then output the the edited string followed by the number of letters capitalized. Hint 1: Look up and use Python functions .islower() and .upper() to complete this task. Hint 2: Create an empty string and use string concatenation to make edits to the string. (3 pts)

Ex:

Number of letters capitalized: 3
Edited text: We'll continue our quest in space.  There will be more shuttle flights and more shuttle crews and,  yes;  more volunteers, more civilians,  more teachers in space.  Nothing ends here;  our hopes and our journeys continue!


(6) Implement the replace_punctuation() function. replace_punctuation() has a string parameter and two keyword argument parameters exclamation_count and semicolon_count. replace_punctuation() updates the string by replacing each exclamation point (!) character with a period (.) and each semicolon (;) character with a comma (,). replace_punctuation() also counts the number of times each character is replaced and outputs those counts. Lastly, replace_punctuation() returns the updated string. Call replace_punctuation() in the print_menu() function, and then output the edited string. (3 pts)

Ex:

Punctuation replaced
exclamation_count: 1
semicolon_count: 2
Edited text: we'll continue our quest in space.  there will be more shuttle flights and more shuttle crews and,  yes,  more volunteers, more civilians,  more teachers in space.  nothing ends here,  our hopes and our journeys continue.


(7) Implement the shorten_space() function. shorten_space() has a string parameter and updates the string by replacing all sequences of 2 or more spaces with a single space. shorten_space() returns the string. Call shorten_space() in the print_menu() function, and then output the edited string. Hint: Look up and use Python function .isspace(). (3 pt)

Ex:

Edited text: we'll continue our quest in space. there will be more shuttle flights and more shuttle crews and, yes, more volunteers, more civilians, more teachers in space. nothing ends here; our hopes and our journeys continue!

In: Computer Science

*******************In Python please******************* (1) Prompt the user to enter a string of their choosing. Store the...

*******************In Python please*******************

(1) Prompt the user to enter a string of their choosing. Store the text in a string. Output the string. (1 pt)

Enter a sample text:
we'll continue our quest in space. there will be more shuttle flights and more shuttle crews and, yes; more volunteers, more civilians, more teachers in space. nothing ends here; our hopes and our journeys continue!

You entered: we'll continue our quest in space. there will be more shuttle flights and more shuttle crews and, yes; more volunteers, more civilians, more teachers in space. nothing ends here; our hopes and our journeys continue!

(2) Implement a print_menu() function, which has a string as a parameter, outputs a menu of user options for analyzing/editing the string, and returns the user's entered menu option and the sample text string (which can be edited inside the print_menu() function). Each option is represented by a single character.

If an invalid character is entered, continue to prompt for a valid choice. Hint: Implement the Quit menu option before implementing other options. Call print_menu() in the main section of your code. Continue to call print_menu() until the user enters q to Quit. (3 pts)

Ex:  

MENU
c - Number of non-whitespace characters
w - Number of words
f - Fix capitalization
r - Replace punctuation
s - Shorten spaces
q - Quit

Choose an option:

(3) Implement the get_num_of_non_WS_characters() function. get_num_of_non_WS_characters() has a string parameter and returns the number of characters in the string, excluding all whitespace. Call get_num_of_non_WS_characters() in the print_menu() function. (4 pts)

Ex:

Number of non-whitespace characters: 181

(4) Implement the get_num_of_words() function. get_num_of_words() has a string parameter and returns the number of words in the string. Hint: Words end when a space is reached except for the last word in a sentence. Call get_num_of_words() in the print_menu() function. (3 pts)

Ex:

Number of words: 35

(5) Implement the fix_capitalization() function. fix_capitalization() has a string parameter and returns an updated string, where lowercase letters at the beginning of sentences are replaced with uppercase letters. fix_capitalization() also returns the number of letters that have been capitalized. Call fix_capitalization() in the print_menu() function, and then output the the edited string followed by the number of letters capitalized. Hint 1: Look up and use Python functions .islower() and .upper() to complete this task. Hint 2: Create an empty string and use string concatenation to make edits to the string. (3 pts)

Ex:

Number of letters capitalized: 3
Edited text: We'll continue our quest in space. There will be more shuttle flights and more shuttle crews and, yes; more volunteers, more civilians, more teachers in space. Nothing ends here; our hopes and our journeys continue!

(6) Implement the replace_punctuation() function. replace_punctuation() has a string parameter and two keyword argument parameters exclamation_count and semicolon_count. replace_punctuation() updates the string by replacing each exclamation point (!) character with a period (.) and each semicolon (;) character with a comma (,). replace_punctuation() also counts the number of times each character is replaced and outputs those counts. Lastly, replace_punctuation() returns the updated string. Call replace_punctuation() in the print_menu() function, and then output the edited string. (3 pts)

Ex: Punctuation replaced
exclamation_count: 1
semicolon_count: 2
Edited text: we'll continue our quest in space. there will be more shuttle flights and more shuttle crews and, yes, more volunteers, more civilians, more teachers in space. nothing ends here, our hopes and our journeys continue.

(7) Implement the shorten_space() function. shorten_space() has a string parameter and updates the string by replacing all sequences of 2 or more spaces with a single space. shorten_space() returns the string. Call shorten_space() in the print_menu() function, and then output the edited string. Hint: Look up and use Python function .isspace(). (3 pt)

Ex:

Edited text: we'll continue our quest in space. there will be more shuttle flights and more shuttle crews and, yes, more volunteers, more civilians, more teachers in space. nothing ends here; our hopes and our journeys continue!

In: Computer Science