P5.1 Your portfolio had the values in the following table for the four-year period listed. Calculate your average return over the four-year period.

Year                       Beginning Value                               Ending Value

2007                      $50,000.00                           $55,000.00

2008                       $55,000.00                           $58,000.00

2009                      $58,000.00                           $65,000.00

2010                       $65,000.00                           $70,000.00

P5.2 Using your data from Problem 5.1 above, calculate the portfolio standard deviation.

Consider a sample of year-end prices for Alphabet, Inc. (Google) over a five year period. Google did not pay a dividend over the sample period.

Calculate the average (arithmetic) return.

Calculate the holding period return.

Calculate the geometric return.

Calculate the standard deviation in the returns.

Given the year end prices of the following stocks, estimate the standard deviation of the returns of a portfolio of 30% AAA and 70% BBB. Enter your answer as a percent without the % sign. Round your final answer to two decimals.

1. Using CAPM, calculate the Expected Return for Apple and Microsoft. Get the relevant market related data, such as the “risk-free rate” and “market return”, and describe which rate you are using from the financial markets

1. Calculate Beta for Apple and Microsoft, using a characteristic line. Display the data points on a graph and display the characteristic line.

   	Yearly Returns	Microsoft	Apple	Market
   Jan 2010 - Dec 2010	Year. 1	-0.34%	5.18%	14.93%
   Jan 2011 - Dec 2011	Year. 2	-0.37%	7.93%	2.06%
   Jan 2012 - Dec 2012	Year. 3	0.40%	5.15%	15.84%
   Jan 2013 - Dec 2013	Year 4	2.81%	5.99%	32.21%
   Jan 2014 - Dec 2014	Year. 5	1.91%	4.62%	13.53%
   Jan 2015 - Dec 2015	Year. 6	1.75%	3.32%	1.34%
   Jan 2016 - Dec 2016	Year. 7	1.37%	3.94%	11.80%
   Jan 2017 - Dec 2017	Year. 8	2.72%	2.84%	21.69%
   Jan 2018 - Dec 2018	Year. 9	1.41%	2.13%	-4.45%
   Jan 2019 - Dec 2019	Year. 10	4.06%	5.58%	31.29%
   Average Return		1.57%	4.67%	14.02%
   Std Deviation		1.42%	1.69%	12.21%
   Correlation with the market		0.61	0.29	1.00
   Beta		0.07	0.04	1.00

1) What does the subscript "t" as in Pt mean in the HPR formula? a. It means ton of money. b. It means total. c. It's a time-marker. d. It's a tax marker.

2)

So, which of the following does P₂₀₀₇ not mean?

3) If t = 2010 and n = 5, (a) P_t = ___________ and (b) it means ____________ and (c) P_t+n = ____________ and (d) itmeans  ______________

4) Under what circumstance is it appropriate to use geometric AVG?

5) Which of the following is not a correct formula for geometric AVG?

Fargus Corporation owned 61% of the voting common stock of Sanatee, Inc. The parent's interest was acquired several years ago on the date that the subsidiary was formed. Consequently, no goodwill or other allocation was recorded in connection with the acquisition price.
On January 1, 2010, Sanatee sold $1,800,000 in ten-year bonds to the public at 108. The bonds pay a 10% interest rate every December 31. Fargus acquired 40% of these bonds on April 1, 2012, for 95% of the face value. Both companies utilized the straight-line method of amortization.

Prepare amortization tables for Fargus (4/1/2012 to 12/31/2013) and Sanatee (1/1/2010 to 12/31/2013)?

Determine whether this is gain/loss on retirement of bond on April 1 2012?

Determine the consolidated interest expense on Dec 31 2012?

If Fargus has net income $200,000 and Sanatee has net income $50,000 in 2012, how much is the consolidated net income?

What consolidation entry would be recorded in connection with these intra-entity bonds on December 31, 2012?  

What consolidation entry would be recorded in connection with these intra-entity bonds on December 31, 2013?

PLS KINDLY ADD THE REFERENCE OF THE ANSWER TO THE QUESTION BELOW

Read/review the articles and websites posted in Module 2 prior to responding to the two questions below.

They are important and will help you in this course and your journey to become a professional nurse.

1) The differentiating factors between occupations and professions are education, theory and research, and a professional framework or model. There have been debates on whether nursing is a "profession" or a skill-based "occupation" has been ongoing for decades. Explain why nursing should or should not be considered a profession. Support your response with reliable, valid sources.

2) Compare and contrast the "nursing model" vs the "medical model". As a future professional nurse, why is it important to understand the differences between these two models/professions? Additionally, discuss why it is best to describe nursing as part of "healthcare system/health professions" rather than the "medical field/medicine".

Articles are

BaccEssentials08-2.pdfPreview the document Nursing Education 2010 Brief-2.pdfPreview the document Institute of Medicine of the National Academies (2010).

The future of nursing: Focus on education report. (Links to an external site.)Links to an external site.

PLS ADD THE REFERENCE TO IT..

The 2010 General Social Survey asked the question: "For how many days during the past 30 days was your mental health, which includes stress, depression, and problems with emotions, not good?" Based on responses from 1,151 US residents, the survey reported a 95% confidence interval of 3.40 to 4.24 days in 2010.


(a) Interpret this interval in context of the data.

• 95% of surveys will report a mean number of ''not good'' days in the past 30 is between 3.40 and 4.24
• The researchers can be 95% confident that the true population mean number of ''not good'' days in the past 30 is between 3.40 and 4.24
• The researchers can be 95% confident that the sample mean number of ''not good'' days in the past 30 is between 3.40 and 4.24

(b) Suppose the researchers think a 99% confidence level would be more appropriate for this interval. Will this new interval be smaller or larger than the 95% confidence interval?

• larger since the standard error would be larger
• smaller since we will be more sure of our results
• larger since the margin for error must be larger
• smaller since we have less room for error