A section of the balance sheet of Delta Corporation is provided below.

Delta Corporation

Selected Balance Sheet Information

At December 31, 2018

Long-Term Debt:

Notes Payable, 10%$2,000,000

12% Convertible Bonds Payable6,000,000

Total Long-Term Debt$8,000,000

Shareholders’ Equity:

$5 cumulative dividend, convertible preferred shares, no par

value; 200,000 shares authorized, 120,000 shares issued

and outstanding$4,500,000

Common Shares, no par value; 5,200,000 shares authorized,

1,500,000 shares issued and outstanding1,500,000

Contributed Surplus3,400,000

Retained Earnings 6,500,000

Total Shareholders’ Equity $15,900,000

Notes and Assumptions

December 31, 2018

• Options were granted/written in December 2016 to purchase 60,000 common shares at $25 per share.The average market price of Delta’s common shares during 2018 was $30 per common share.The options expire in 2020 and no options were exercised during 2018.
• The 12% bonds were issued in 2017 at face value.Each convertible bond is convertible into 50 common shares (each bond has a face value of $1,000).
• The $5 cumulative, convertible preferred shares were issued at the beginning of 2016.Each preferred share is convertible into 3 common shares.
• The average income tax rate is 40%.
• The 1,500,000 common shares were issued at $1 per share and were outstanding during the entire year.
• Preferred dividends were not declared in 2018.
• Net income was $4,200,000 in 2018.
• No bonds or preferred shares were converted during 2018.

Required:(Show all calculations)

• Calculate basic earnings per share for Delta for 2018.
• Calculate diluted earnings per share for Delta for 2018 by following the proper steps.
• Show the presentation of earnings per share for Delta for 2018.

Problem 2 (11 Marks)

.

Harris Kelly’s is in existence for the past fifteen years.However, during recent years, its common shares outstanding changed as below.Harris Kelly’s accounting year ends on December 31st.

2018 20172016

Shares outstanding, January 1st 300,000240,000200,000

Shares sold, April 1, 201640,000

25% stock dividend, July 1st 201760,000

2-for-1 stock split, July 1st 2018 300,000

Shares sold, October 1st 2018100,000

Shares outstanding, December 31st700,000300,000240,000

Net Income$ 750,000660,000 598,000

Required:

• Determine the weighted average number of shares outstanding for each of the years above. (3 Marks)
• Assuming there were no preferred shares outstanding, compute EPS for each year based on the computation of years in part 1. (3 Marks)
• Assume instead that Harris Kelly’s Corporation has 800,000 common shares outstanding throughout 2018. In addition, the corporation has 10,000, 20-year, 7% bonds issued at par in 2016. Each $1,000 bond is convertible into twenty (20) common shares after 9/23/19. During the year 2018, the corporation earned $1,200,000 after deducting all expenses. The tax rate was 30%.Calculate the basic and fully diluted earnings per share for 2018. (3 Marks)

What is it like to age and die in other countries? A few examples have been provided in the learning activities, but for this discussion you will be tasked with researching how a culture of your choosing views aging and dying.Choose a country and search the web for facts about what it’s like to age and die in a country or culture of your choosing. Then, in your initial post, respond to each of the following:Provide a brief description of the country or culture you chose.How does religion and/or culture influence how the country or culture views aging and death?What are their views on medicine and treatment of the aging?Compare this to how we treat our aging population and death and dying in the United States.

Assignment

This following assignment description will prepare you for the next Assignment

due in Unit 6.

Cardigan History

The Cardigan family has made a name for themselves in the sweater industry

whereby they have designed sweaters for a variety of uses and for a wide target

audience ranging from toddlers to business professionals. Cassandra, whom

everyone calls Cassie, is the CEO of CARDWARE Inc., Camoni is the

spokesperson for the sweater line, and Candie models the lines in the

professional sphere. They often use their mother, Camille, as a business

the manager and agent of her son’s glove company. Cora and Caley, Camille’s

two youngest daughters from her second failed marriage to Bo Jenkins, are co-

office managers of their headquarters located in Silkadonia.

Camille has developed a good network among those in the fashion industry,

especially the seamstresses who have been hired by well-known celebrities. One

day, Camille spoke with Sonya, the owner and Lead Seamstress for Shazam

Clothing Industries. Shazam is a leading manufacturer of unique limited edition

clothes in Silkadonia. Camille presented Sonya with her order to sew a limited

number (500) of hot pink and black machine knitted sweaters with a matching

knit hat. Each sweater was to have a number and Candie Cardigan’s signature on

a label sewn onto the bottom right side of the sweater. The hats would have the

same label with matching number to its sweater, but sewn on the right side of

the turned up hat cuff. Sonya agreed to make each sweater and hat pair for

$100. Camille’s plan was to sell each set for $300 thereby making a $200 profit

per set. While discussing the type of yarn to be used, Sonya’s cell phone rang.

Sonya pushed a piece of paper and a color palette towards Camille and

whispered “write the type of yarn you want used and exact dye lots” and I will

begin work on this right away. Camille did as requested, but forgot to give Sonya

the traditional 25 % down payment. The down payment has always been used to

purchase the materials.

Sonya completed production of all 500 sweaters in record time and has

presented Camille with an invoice for payment for the same. At the bottom of

the invoice, the words, “Payment Due Upon Receipt” were written. Camille

changed her mind about wanting the sweaters and hats, as she decided that the

items would not be as profitable as originally anticipated. Sonya now comes to

the law firm you work for, P. Strami, and Hammond, Attorneys at Law, and wants

to know if she has any recourse. Attorney Strami hands you the following

instructions and asks that you draft a memorandum to him incorporating your

research.

Dear Paralegal:

Please prepare a 2–3-page double-spaced memorandum in size 12 Times New

Roman font discussing the following in the order presented:

Please determine whether or not a contract has been formed using the

basic contract principles of offer, acceptance, and consideration. State

whether or not any of the crucial parts of the initial offer may be missing.

Further, please research whether or not Camille and Sonya’s prior course

of dealings has an impact on the parties’ communications and whether or

not Sonya would be successful against CARDWARE Inc. should a breach

of contract lawsuit be brought against her.

Do not forget to provide your legal research within your memorandum.

You may use case law to make comparisons, your textbook, and reliable

Internet research to provide in-text citations for your work. Do not use

Wikipedia.

Prepare your memorandum paying particular attention to the following:

For confidentiality reasons, please prepare an APA formatted cover sheet

with your memorandum. Do not forget to indicate which unit the

Assignment is for.

Be sure to avoid the use of first person. Instead, convey your research

utilizing third person.

Be sure to discuss any ethical perspectives/concerns with regard to the

parties’ communications

Keep all font color consistent throughout. If you copy and paste a link and

it is in blue, hover your mouse over the link, right click, and select

“REMOVE HYPERLINK” to keep the font color black like the rest of your

submission.

Use size 12 Times New Roman font.

Utilize in-text citations. If a reference is listed in your reference page, it

must be included within the body of your submission as well.

Prepare an APA formatted reference page.

Proofread your submission for any grammatical or sentence structure

errors. Also, please refer to the rubric for this Assignment to make sure

Competency Assessment Dropbox

Assignment

you have included that which you will be graded over before placing the

same into the Dropbox.

Submit your Assignment in a timely manner.

Do not hesitate to ask for assistance should you need it.

USE PYTHON!!!!

You are going to conduct a data science analysis from conception through simple linear regression and interpretation. You may select any topic and use any dataset that you like as long as it’s publicly available and it contains two continuous variables whose association you are interested in examining. We will also provide datasets that you can use if you wish, though we encourage you to explore and find one that’s relevant to your interests and goals.

1 Pre-step

1. Describe briefly the question you would like to answer or the topic you would like to explore. Essentially, what do you hope to learn from your analysis?

2 Data

2. Find a dataset that may help you explore at least some of these questions. First, describe where you found the data set. Second, describe how you found it. Third, describe at least two variables in the dataset that are relevant to the analysis you described above. Finally, describe the unit of observation (individual, city, etc.).

3. If you could change this dataset in one way to make it better for your analysis, what would that change be and how could it improve your analysis?

4. Import the dataset into Jupyter using any method you like and show the first five observations. If you had to do any pre-work to get the data into an uploadable format please describe it briefly. (If you didn’t, please say so as well.)

3 Initial analysis

5. Conduct at least two different manipulations of your now-ready table that help you understand something of interest about the dataset (e.g., you might explore options like sort, shape, value counts, groupby, etc.). Why did you choose these two, and what have you learned? (Hint: You may need to do a bit work to get the data into a format that is usable for you – e.g., renaming columns, changing data types, etc. If any of this was necessary, show your code and briefly explain why you made these changes)

6. Generate two different types of graphs of any kind that are useful to you to better understand what you’re interested in. They don’t need to be formatted particularly beautifully, but you do need to use two different types of graphs (e.g., a bar chart and a scatterplot) and explain what you hoped to understand, why you chose these graphs, and whether they’re useful in improving your understanding.

4 Hypothesis formation

7. What is your dependent variable and independent variable? Briefly describe how they are measured in this dataset. (Remember, they’ll both need to be continuous variables.)

8. Calculate the correlation coefficient between your two variables and interpret the result.

9. Write out your regression model as an equation.

10. Write out your null and alternative hypotheses.

5 Regression analysis

11. Estimate the regression equation you specified above and show the regression output.

12. What do the results in the regression output tell you? Interpret the coefficient, p-value, and confidence interval for your independent variable (you don’t have to do the intercept) and the R2.

13. Which hypothesis do you reject and fail to reject, and why?

14. Generate the residual plot and comment on any heteroskedasticity. What does this imply for your inference?

6 Conclusions

15. What biases might be present in the sample itself that could be affecting the outcome? Discuss at least two sources of bias.

16. Considering all the work you’ve done, including the regression output, the results of your hypothesis tests, and any biases present in the data, what conclusions, however tentative, can

you draw from your analysis about the relationship between your two variables of interest?

17. What is your analysis’s greatest weakness? In other words, what are the best reasons to be cautious about what we can learn from it?

Find data set from these:

FiveThirtyEight data from their articles: https://github.com/fivethirtyeight/data

shootings and firearm legislation in the US

https://www.springboard.com/blog/free-public-data-…

(IMF, UNICEF), industry (Yelp, Airbnb, Walmart)