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  • [Solved] Mission and Vision

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    Organizations in start-up mode need to formulate their mission and vision statements early on to ensure that every critical step in the initial phase is on point. Often, it is easier to see the mission and vision than it is to clearly and concisely capture them in writing. This discussion exercise i…

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    Organizations in start-up mode need to formulate their mission and vision statements early on to ensure that every critical step in the initial phase is on point. Often, it is easier to see the mission and vision than it is to clearly and concisely capture them in writing. This discussion exercise is designed to help you formulate and write a clear, focused mission and vision statement using a fictitious company.

    Occulari Optique is a new, privately held eyewear company offering the finest eyeglass and sunglass frames from around the world as well as in-store optical (lens) services. Headquartered in San Francisco, the company plans to open fifty stores in the next twelve months in key market cities, including Los Angeles; San Diego; Dallas; Chicago; Miami; New York; Cincinnati; Boston; Washington, D.C.; and Atlanta. Its competitors include Optical Shop of Aspen and Paris Optique.

    The company wants to set itself apart with its customer service, one-of-a-kind frames, superior lens crafting, and ninety-day money-back satisfaction guarantee. Additionally, the CEO is passionate about creating an organizational culture that respects and values employees. It has been decided that team members will receive, in addition to a comprehensive benefits package, two free pairs of glasses per year, profit sharing, ongoing training and education, 100 percent tuition reimbursement, and three weeks of vacation per year.

    One of the company’s primary goals is an initial public offering (IPO) within fourteen to sixteen months.

    Based on the above information, write both a compelling mission and vision statement for Occulari Optique. The mission and vision statements should be presented at the beginning of your posting.

    After you compose vision and mission statements, evaluate your statements and the organization by addressing any one of the following bullet point sets of questions.

    – Defend the way that you formulated your mission and vision      statements. What did you include in each and why? What did you intentionally      leave out and why? What did you find most challenging about      constructing the statements?

    – What are the most important facts the public and employees need to      know about the organization to answer why we exist? How should your      mission and vision statements be disseminated to the public? To the      employees? What should be done to assure that the most important facts are      clearly communicated and understood?

    – What makes the organization different from its competitors? What is      the organization’s greatest value proposition? Beyond just constructing      simple mission and vision statements, how should the organization leverage      its uniqueness for competitive advantage?

    – What keywords best summarize what this company stands for? How might      the keywords provide both prescriptive and descriptive potential for      communicating organizational values? What behaviors might be expected in      the organization if the selected keywords actually reflect values-in-use?

    – If you could change details or characteristics of the organization      (as presented in the case description), what would you change and why?      Evaluate the strategic purpose and possible effect of making such changes.

    – What additional information or resources might be needed if this was      a real situation and you needed to create mission and vision statements      for an organization? How would you gather that information? How would that      information influence the way you would construct the mission and vision      statements?

    The **final paragraph** (three or four sentences) of your initial post should summarize the one or two key points that you are making in your initial response.

    Your posting should be the equivalent of **1 to 2 pages** (500–1000 words) in length.

    **Submission Details:**

    – Each Covered Heading must contain      3+ credible cited sources and a conclusion summarizing talking points.

    – **Due by 4/26/25 at 11:30pm CST**

    **Requirements:**

    1. **Make certain to include in text citations from your course text in addition to your outside leadership resources within your main post. This adds credibility to your argument.**

    **[Textbooks]:**

    Hughes, R. L., Beatty, K. C., & Dinwoodie, D. L. (2014). [_Becoming a Strategic Leader: Your Role in Your Organization's Enduring Success_](https://myclasses.southuniversity.edu/d2l/common/dialogs/quickLink/quickLink.d2l?ou=126239&type=lti&rcode=southu-50879&srcou=9764) _(2nd ed.)._ San Francisco, CA: Jossey-Bass. 978-1-118-56723-4

    **and**

    Kouzes, J. M., & Posner, B. Z. (2017). [_The Leadership Challenge_](https://myclasses.southuniversity.edu/d2l/common/dialogs/quickLink/quickLink.d2l?ou=126239&type=lti&rcode=southu-51928&srcou=9764) _, (6th ed.)_. San Francisco, CA: Wiley. 9781119278962

    2. _No plagiarism will be tolerated. Must be in 7th Edition APA format with cited sources within the last 5 years._

    **3.** **No AI support, score must be 0% and less than < 10% score on Turnitin**

    – [\
    \
    Wk1DiscussionPost-MissionandVision-AssignmentDetails.docx](https://www.sweetstudy.com/files/wk1discussionpost-missionandvision-assignmentdetails-docx "Wk1DiscussionPost-MissionandVision-AssignmentDetails.docx")
    – [\
    \
    Wk1DiscussionPost-MissionandValues-GradingRubric.docx](https://www.sweetstudy.com/files/wk1discussionpost-missionandvalues-gradingrubric-docx "Wk1DiscussionPost-MissionandValues-GradingRubric.docx")

    – a year ago

  • [Solved] Arch 5

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    In-depth study guidance and analytical solution covering Arch 5.

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    Full assignment prompt and step-by-step guidance are included in the downloadable solution file.

  • [Solved] Madam Michelle

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    In-depth study guidance and analytical solution covering Madam Michelle.

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  • [Solved] Advanced Quality Management for Health Care Administrators

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    1. Based on your work setting or an area of interest, select and explore one of the CMS quality initiatives from the CMS Quality Reporting and Value-Based Programs & Initiatives webpage. 2. In one to two paragraphs, answer the following question regarding the CMS quality initiative you selected: Wha…

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    Assignment Prompt & Instructions

    1. Based on your work setting or an area of interest, select and explore one of the CMS quality initiatives from the CMS Quality Reporting and Value-Based Programs & Initiatives webpage.
    2. In one to two paragraphs, answer the following question regarding the CMS quality initiative you selected: What does the CMS quality initiative include? Describe the initiative and its relationship to the CMS National Quality Strategy webpage.

    – a year ago

  • [Solved] Business Statistics Project

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    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics) See attached files. – a year ago **files (2)** – ## ProjectTemplate.docx – ## crime.csv **## ProjectTemplate.docx** ### 1. Introduction _Discuss the statement of the problem in terms of the statistical analyses th…

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    Assignment Prompt & Instructions

    [>Statistics homework help](https://www.sweetstudy.com/fields/mathematics-statistics)

    See attached files.

    – a year ago

    **files (2)**

    – ## ProjectTemplate.docx

    – ## crime.csv

    **## ProjectTemplate.docx**

    ### 1. Introduction

    _Discuss the statement of the problem in terms of the statistical analyses that are being performed. Be sure to address the following:_

    What is the data set that you are exploring?

    How will your results be used?

    What type of analyses will you be running in this project? Explain.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 2. Data Preparation

    1. What are the variables stored in crime.csv?

    2.
    **Give an overall description about your data set.**

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 3. Simple Linear Regression: Create a simple linear regression model to predict the murder rate using single.parent.

    In general, how is a simple linear regression model used to predict the response variable using the predictor variable?

    Why you decide to use linear regression for this data set? Justify your option.

    What is the equation for your model?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    What is the predicted murder rate for a state that has single.paren of 25.4? Round your answer down to the nearest integer.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 3. Multiple Regression: Create a multiple linear regression model to predict the murder rate using all important variables.

    In general, how is a multiple linear regression model used to predict the response variable using predictor variables?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    Based on the results of the overall p- value, is at least one of the predictors statistically significant in predicting the murder rate?

    List all the important variables to predict the murder rate based on p-value.

    Report and interpret the coefficient of determination.

    What is the equation for your model?

    What is the predicted murder rate based on your final multiple regression model (assume some random values for your variables)?

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291)__Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 4. Conclusion

    _Describe the results of the statistical analyses clearly, using proper descriptions of statistical terms and concepts. Fully describe what these results mean for your scenario._

    Briefly summarize your findings in plain language.

    What is the practical importance of the analyses that were performed?

    ### 5. Citations

    _You were_
    _**not**_ _required to use external resources for this report. If you did not use any resources, you should remove this entire section. However, if you did use any resources to help you with your interpretation, you_
    _**must**_ _cite them. Use proper APA format for citations._

    Insert references here in the following format:

    Author's Last Name, First Initial. Middle Initial. (Year of Publication). Title of book: Subtitle of book, edition. Place of Publication: Publisher.

    _You must use the following template for your report:_

    Section 1. Answers to the specific questions asked

    Section 2: Excel code. No points may be given if a brief look at the code does not tell us what it is

    doing.

    Consider the crime data stored in crime.csv. We would like to understand how murder rate is

    related to the other variables in the dataset.
    (a) Build a linear regression model murder rate vs single.parent and comment on your model.
    (b) Build a multiple linear regression model to predict murder rate based on the other variables.
    The model should have all the important variables and it should not have any unimportant
    variables. Be sure to explore the interactions as well. Perform model diagnostics to check the
    standard model assumptions and perform any transformations needed to obtain a model for
    which the assumptions reasonably hold.
    (c) Use your final model to predict murder rate.

    Context of data

    This dataset compiles crime records from 51 states, featuring a condensed set of fields that center around key attributes like the unemployment rate, single parent rate, college-educated people rate, and more. Your role as a data analyst is to compute the crime rate for each state by leveraging the specified attributes in the dataset. Apply your understanding of both simple and multiple linear regression analysis, acquired in our class, to predict the crime rate effectively.

    **image2.png**

    **## crime.csv**

    | | | | | | | | | |
    | — | — | — | — | — | — | — | — | — |
    | state | murder.rate | poverty | high.school | college | single.parent | unemployed | metropolitan | region |
    | Alabama | 7.4 | 14.7 | 77.5 | 20.4 | 26 | 4.6 | 70.2 | South |
    | Alaska | 4.3 | 8.4 | 90.4 | 28.1 | 23.2 | 6.6 | 41.6 | West |
    | Arizona | 7 | 13.5 | 85.1 | 24.6 | 23.5 | 3.9 | 87.9 | West |
    | Arkansas | 6.3 | 15.8 | 81.7 | 18.4 | 24.7 | 4.4 | 49 | South |
    | California | 6.1 | 14 | 81.2 | 27.5 | 21.8 | 4.9 | 96.7 | West |
    | Colorado | 3.1 | 8.5 | 89.7 | 34.6 | 20.8 | 2.7 | 84 | West |
    | Connecticut | 2.9 | 7.7 | 88.2 | 31.6 | 22.9 | 2.3 | 95.6 | Northeast |
    | Delaware | 3.2 | 9.9 | 86.1 | 24 | 25.6 | 4 | 81.4 | South |
    | Florida | 5.6 | 12 | 84 | 22.8 | 26.5 | 3.6 | 93 | South |
    | Georgia | 8 | 12.5 | 82.6 | 23.1 | 25.5 | 3.7 | 69.1 | South |
    | Hawaii | 2.9 | 10.6 | 87.4 | 26.3 | 19.1 | 4.3 | 72.9 | West |
    | Idaho | 1.2 | 13.3 | 86.2 | 20 | 17.7 | 4.9 | 38.6 | West |
    | Illinois | 7.2 | 10.5 | 85.5 | 27.1 | 21.9 | 4.4 | 84.5 | North Central |
    | Indiana | 5.8 | 8.3 | 84.6 | 17.1 | 22.8 | 3.2 | 71.8 | North Central |
    | Iowa | 1.6 | 7.9 | 89.7 | 25.5 | 19.8 | 2.6 | 44.9 | North Central |
    | Kansas | 6.3 | 10.5 | 88.1 | 27.3 | 20.2 | 3.7 | 56.8 | North Central |
    | Kentucky | 4.8 | 12.5 | 78.7 | 20.5 | 23.2 | 4.1 | 48.4 | South |
    | Lousiana | 12.5 | 18.5 | 80.8 | 22.5 | 29.3 | 5.5 | 75.2 | South |
    | Maine | 1.2 | 9.8 | 89.3 | 24.1 | 23.7 | 3.5 | 36.3 | Northeast |
    | Maryland | 8.1 | 7.3 | 85.7 | 32.3 | 24.5 | 3.9 | 92.7 | South |
    | Massachusetts | 2 | 10.2 | 85.1 | 32.7 | 22.8 | 2.6 | 92.1 | Northeast |
    | Michigan | 6.7 | 10.2 | 86.2 | 23 | 24.5 | 3.6 | 82.5 | North Central |
    | Minnesota | 3.1 | 7.9 | 90.8 | 31.2 | 19.6 | 3.3 | 70.3 | North Central |
    | Mississippi | 9 | 15.5 | 80.3 | 18.7 | 30 | 5.7 | 36.2 | South |
    | Missouri | 6.2 | 9.8 | 86.6 | 26.2 | 24.3 | 3.5 | 68 | North Central |
    | Montana | 1.8 | 16 | 89.6 | 23.8 | 21.4 | 4.9 | 33.4 | West |
    | Nebraska | 3.7 | 10.7 | 90.4 | 24.6 | 19.6 | 3 | 52.2 | North Central |
    | Nevada | 6.5 | 10.1 | 82.8 | 19.3 | 24.2 | 4.1 | 86.6 | West |
    | New_Hampshire | 1.8 | 7.6 | 88.1 | 30.1 | 20 | 2.8 | 60.3 | Northeast |
    | New_Jersey | 3.4 | 8.1 | 87.3 | 30.1 | 20.2 | 3.8 | 100 | Northeast |
    | New_Mexico | 7.4 | 19.3 | 82.2 | 23.6 | 26.6 | 4.9 | 57 | West |
    | New_York | 5 | 14.7 | 82.5 | 28.7 | 26 | 4.6 | 91.9 | Northeast |
    | North_Carolina | 7 | 13.2 | 79.2 | 23.2 | 24.3 | 3.6 | 67.2 | South |
    | North_Dakota | 0.6 | 12.8 | 85.5 | 22.6 | 19.1 | 3 | 43.4 | North Central |
    | Ohio | 3.7 | 11.1 | 87 | 24.6 | 24.6 | 4.1 | 80.9 | North Central |
    | Oklahoma | 5.3 | 14.1 | 86.1 | 22.5 | 23.5 | 3 | 60.6 | South |
    | Oregon | 2 | 12.9 | 88.1 | 27.2 | 22.5 | 4.9 | 72.8 | West |
    | Pennsylvania | 4.9 | 9.8 | 85.7 | 24.3 | 22.8 | 4.2 | 84.5 | Northeast |
    | Rhode_Island | 4.3 | 10.2 | 81.3 | 26.4 | 27.4 | 4.1 | 93.8 | Northeast |
    | South_Carolina | 5.8 | 12 | 83 | 19 | 27.1 | 3.9 | 70.2 | South |
    | South_Dakota | 0.9 | 9.4 | 91.8 | 25.7 | 20.7 | 2.3 | 34.5 | North Central |
    | Tennessee | 7.2 | 13.4 | 79.9 | 22 | 27.9 | 3.9 | 67.9 | South |
    | Texas | 5.9 | 14.9 | 79.2 | 23.9 | 21.5 | 4.2 | 84.6 | South |
    | Utah | 1.9 | 8.1 | 90.7 | 26.4 | 13.6 | 3.2 | 76.4 | West |
    | Vermont | 1.5 | 10.3 | 90 | 28.8 | 22.5 | 2.9 | 27.9 | Northeast |
    | Virginia | 5.7 | 8.1 | 86.6 | 31.9 | 22.2 | 2.2 | 78.2 | South |
    | Washington | 3.3 | 9.5 | 91.8 | 28.6 | 22.1 | 5.2 | 83 | West |
    | West_Virginia | 2.5 | 15.8 | 77.1 | 15.3 | 22.3 | 5.5 | 41.9 | South |
    | Wisconsin | 3.2 | 9 | 86.7 | 23.8 | 21.7 | 3.5 | 67.8 | North Central |
    | Wyoming | 2.4 | 11.1 | 90 | 20.6 | 20.8 | 3.9 | 29.6 | West |

    **## crime.csv**

    | | | | | | | | | |
    | — | — | — | — | — | — | — | — | — |
    | state | murder.rate | poverty | high.school | college | single.parent | unemployed | metropolitan | region |
    | Alabama | 7.4 | 14.7 | 77.5 | 20.4 | 26 | 4.6 | 70.2 | South |
    | Alaska | 4.3 | 8.4 | 90.4 | 28.1 | 23.2 | 6.6 | 41.6 | West |
    | Arizona | 7 | 13.5 | 85.1 | 24.6 | 23.5 | 3.9 | 87.9 | West |
    | Arkansas | 6.3 | 15.8 | 81.7 | 18.4 | 24.7 | 4.4 | 49 | South |
    | California | 6.1 | 14 | 81.2 | 27.5 | 21.8 | 4.9 | 96.7 | West |
    | Colorado | 3.1 | 8.5 | 89.7 | 34.6 | 20.8 | 2.7 | 84 | West |
    | Connecticut | 2.9 | 7.7 | 88.2 | 31.6 | 22.9 | 2.3 | 95.6 | Northeast |
    | Delaware | 3.2 | 9.9 | 86.1 | 24 | 25.6 | 4 | 81.4 | South |
    | Florida | 5.6 | 12 | 84 | 22.8 | 26.5 | 3.6 | 93 | South |
    | Georgia | 8 | 12.5 | 82.6 | 23.1 | 25.5 | 3.7 | 69.1 | South |
    | Hawaii | 2.9 | 10.6 | 87.4 | 26.3 | 19.1 | 4.3 | 72.9 | West |
    | Idaho | 1.2 | 13.3 | 86.2 | 20 | 17.7 | 4.9 | 38.6 | West |
    | Illinois | 7.2 | 10.5 | 85.5 | 27.1 | 21.9 | 4.4 | 84.5 | North Central |
    | Indiana | 5.8 | 8.3 | 84.6 | 17.1 | 22.8 | 3.2 | 71.8 | North Central |
    | Iowa | 1.6 | 7.9 | 89.7 | 25.5 | 19.8 | 2.6 | 44.9 | North Central |
    | Kansas | 6.3 | 10.5 | 88.1 | 27.3 | 20.2 | 3.7 | 56.8 | North Central |
    | Kentucky | 4.8 | 12.5 | 78.7 | 20.5 | 23.2 | 4.1 | 48.4 | South |
    | Lousiana | 12.5 | 18.5 | 80.8 | 22.5 | 29.3 | 5.5 | 75.2 | South |
    | Maine | 1.2 | 9.8 | 89.3 | 24.1 | 23.7 | 3.5 | 36.3 | Northeast |
    | Maryland | 8.1 | 7.3 | 85.7 | 32.3 | 24.5 | 3.9 | 92.7 | South |
    | Massachusetts | 2 | 10.2 | 85.1 | 32.7 | 22.8 | 2.6 | 92.1 | Northeast |
    | Michigan | 6.7 | 10.2 | 86.2 | 23 | 24.5 | 3.6 | 82.5 | North Central |
    | Minnesota | 3.1 | 7.9 | 90.8 | 31.2 | 19.6 | 3.3 | 70.3 | North Central |
    | Mississippi | 9 | 15.5 | 80.3 | 18.7 | 30 | 5.7 | 36.2 | South |
    | Missouri | 6.2 | 9.8 | 86.6 | 26.2 | 24.3 | 3.5 | 68 | North Central |
    | Montana | 1.8 | 16 | 89.6 | 23.8 | 21.4 | 4.9 | 33.4 | West |
    | Nebraska | 3.7 | 10.7 | 90.4 | 24.6 | 19.6 | 3 | 52.2 | North Central |
    | Nevada | 6.5 | 10.1 | 82.8 | 19.3 | 24.2 | 4.1 | 86.6 | West |
    | New_Hampshire | 1.8 | 7.6 | 88.1 | 30.1 | 20 | 2.8 | 60.3 | Northeast |
    | New_Jersey | 3.4 | 8.1 | 87.3 | 30.1 | 20.2 | 3.8 | 100 | Northeast |
    | New_Mexico | 7.4 | 19.3 | 82.2 | 23.6 | 26.6 | 4.9 | 57 | West |
    | New_York | 5 | 14.7 | 82.5 | 28.7 | 26 | 4.6 | 91.9 | Northeast |
    | North_Carolina | 7 | 13.2 | 79.2 | 23.2 | 24.3 | 3.6 | 67.2 | South |
    | North_Dakota | 0.6 | 12.8 | 85.5 | 22.6 | 19.1 | 3 | 43.4 | North Central |
    | Ohio | 3.7 | 11.1 | 87 | 24.6 | 24.6 | 4.1 | 80.9 | North Central |
    | Oklahoma | 5.3 | 14.1 | 86.1 | 22.5 | 23.5 | 3 | 60.6 | South |
    | Oregon | 2 | 12.9 | 88.1 | 27.2 | 22.5 | 4.9 | 72.8 | West |
    | Pennsylvania | 4.9 | 9.8 | 85.7 | 24.3 | 22.8 | 4.2 | 84.5 | Northeast |
    | Rhode_Island | 4.3 | 10.2 | 81.3 | 26.4 | 27.4 | 4.1 | 93.8 | Northeast |
    | South_Carolina | 5.8 | 12 | 83 | 19 | 27.1 | 3.9 | 70.2 | South |
    | South_Dakota | 0.9 | 9.4 | 91.8 | 25.7 | 20.7 | 2.3 | 34.5 | North Central |
    | Tennessee | 7.2 | 13.4 | 79.9 | 22 | 27.9 | 3.9 | 67.9 | South |
    | Texas | 5.9 | 14.9 | 79.2 | 23.9 | 21.5 | 4.2 | 84.6 | South |
    | Utah | 1.9 | 8.1 | 90.7 | 26.4 | 13.6 | 3.2 | 76.4 | West |
    | Vermont | 1.5 | 10.3 | 90 | 28.8 | 22.5 | 2.9 | 27.9 | Northeast |
    | Virginia | 5.7 | 8.1 | 86.6 | 31.9 | 22.2 | 2.2 | 78.2 | South |
    | Washington | 3.3 | 9.5 | 91.8 | 28.6 | 22.1 | 5.2 | 83 | West |
    | West_Virginia | 2.5 | 15.8 | 77.1 | 15.3 | 22.3 | 5.5 | 41.9 | South |
    | Wisconsin | 3.2 | 9 | 86.7 | 23.8 | 21.7 | 3.5 | 67.8 | North Central |
    | Wyoming | 2.4 | 11.1 | 90 | 20.6 | 20.8 | 3.9 | 29.6 | West |

    **## ProjectTemplate.docx**

    ### 1. Introduction

    _Discuss the statement of the problem in terms of the statistical analyses that are being performed. Be sure to address the following:_

    What is the data set that you are exploring?

    How will your results be used?

    What type of analyses will you be running in this project? Explain.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 2. Data Preparation

    1. What are the variables stored in crime.csv?

    2.
    **Give an overall description about your data set.**

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 3. Simple Linear Regression: Create a simple linear regression model to predict the murder rate using single.parent.

    In general, how is a simple linear regression model used to predict the response variable using the predictor variable?

    Why you decide to use linear regression for this data set? Justify your option.

    What is the equation for your model?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    What is the predicted murder rate for a state that has single.paren of 25.4? Round your answer down to the nearest integer.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 3. Multiple Regression: Create a multiple linear regression model to predict the murder rate using all important variables.

    In general, how is a multiple linear regression model used to predict the response variable using predictor variables?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    Based on the results of the overall p- value, is at least one of the predictors statistically significant in predicting the murder rate?

    List all the important variables to predict the murder rate based on p-value.

    Report and interpret the coefficient of determination.

    What is the equation for your model?

    What is the predicted murder rate based on your final multiple regression model (assume some random values for your variables)?

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291)__Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 4. Conclusion

    _Describe the results of the statistical analyses clearly, using proper descriptions of statistical terms and concepts. Fully describe what these results mean for your scenario._

    Briefly summarize your findings in plain language.

    What is the practical importance of the analyses that were performed?

    ### 5. Citations

    _You were_
    _**not**_ _required to use external resources for this report. If you did not use any resources, you should remove this entire section. However, if you did use any resources to help you with your interpretation, you_
    _**must**_ _cite them. Use proper APA format for citations._

    Insert references here in the following format:

    Author's Last Name, First Initial. Middle Initial. (Year of Publication). Title of book: Subtitle of book, edition. Place of Publication: Publisher.

    _You must use the following template for your report:_

    Section 1. Answers to the specific questions asked

    Section 2: Excel code. No points may be given if a brief look at the code does not tell us what it is

    doing.

    Consider the crime data stored in crime.csv. We would like to understand how murder rate is

    related to the other variables in the dataset.
    (a) Build a linear regression model murder rate vs single.parent and comment on your model.
    (b) Build a multiple linear regression model to predict murder rate based on the other variables.
    The model should have all the important variables and it should not have any unimportant
    variables. Be sure to explore the interactions as well. Perform model diagnostics to check the
    standard model assumptions and perform any transformations needed to obtain a model for
    which the assumptions reasonably hold.
    (c) Use your final model to predict murder rate.

    Context of data

    This dataset compiles crime records from 51 states, featuring a condensed set of fields that center around key attributes like the unemployment rate, single parent rate, college-educated people rate, and more. Your role as a data analyst is to compute the crime rate for each state by leveraging the specified attributes in the dataset. Apply your understanding of both simple and multiple linear regression analysis, acquired in our class, to predict the crime rate effectively.

    **image2.png**

    **## crime.csv**

    | | | | | | | | | |
    | — | — | — | — | — | — | — | — | — |
    | state | murder.rate | poverty | high.school | college | single.parent | unemployed | metropolitan | region |
    | Alabama | 7.4 | 14.7 | 77.5 | 20.4 | 26 | 4.6 | 70.2 | South |
    | Alaska | 4.3 | 8.4 | 90.4 | 28.1 | 23.2 | 6.6 | 41.6 | West |
    | Arizona | 7 | 13.5 | 85.1 | 24.6 | 23.5 | 3.9 | 87.9 | West |
    | Arkansas | 6.3 | 15.8 | 81.7 | 18.4 | 24.7 | 4.4 | 49 | South |
    | California | 6.1 | 14 | 81.2 | 27.5 | 21.8 | 4.9 | 96.7 | West |
    | Colorado | 3.1 | 8.5 | 89.7 | 34.6 | 20.8 | 2.7 | 84 | West |
    | Connecticut | 2.9 | 7.7 | 88.2 | 31.6 | 22.9 | 2.3 | 95.6 | Northeast |
    | Delaware | 3.2 | 9.9 | 86.1 | 24 | 25.6 | 4 | 81.4 | South |
    | Florida | 5.6 | 12 | 84 | 22.8 | 26.5 | 3.6 | 93 | South |
    | Georgia | 8 | 12.5 | 82.6 | 23.1 | 25.5 | 3.7 | 69.1 | South |
    | Hawaii | 2.9 | 10.6 | 87.4 | 26.3 | 19.1 | 4.3 | 72.9 | West |
    | Idaho | 1.2 | 13.3 | 86.2 | 20 | 17.7 | 4.9 | 38.6 | West |
    | Illinois | 7.2 | 10.5 | 85.5 | 27.1 | 21.9 | 4.4 | 84.5 | North Central |
    | Indiana | 5.8 | 8.3 | 84.6 | 17.1 | 22.8 | 3.2 | 71.8 | North Central |
    | Iowa | 1.6 | 7.9 | 89.7 | 25.5 | 19.8 | 2.6 | 44.9 | North Central |
    | Kansas | 6.3 | 10.5 | 88.1 | 27.3 | 20.2 | 3.7 | 56.8 | North Central |
    | Kentucky | 4.8 | 12.5 | 78.7 | 20.5 | 23.2 | 4.1 | 48.4 | South |
    | Lousiana | 12.5 | 18.5 | 80.8 | 22.5 | 29.3 | 5.5 | 75.2 | South |
    | Maine | 1.2 | 9.8 | 89.3 | 24.1 | 23.7 | 3.5 | 36.3 | Northeast |
    | Maryland | 8.1 | 7.3 | 85.7 | 32.3 | 24.5 | 3.9 | 92.7 | South |
    | Massachusetts | 2 | 10.2 | 85.1 | 32.7 | 22.8 | 2.6 | 92.1 | Northeast |
    | Michigan | 6.7 | 10.2 | 86.2 | 23 | 24.5 | 3.6 | 82.5 | North Central |
    | Minnesota | 3.1 | 7.9 | 90.8 | 31.2 | 19.6 | 3.3 | 70.3 | North Central |
    | Mississippi | 9 | 15.5 | 80.3 | 18.7 | 30 | 5.7 | 36.2 | South |
    | Missouri | 6.2 | 9.8 | 86.6 | 26.2 | 24.3 | 3.5 | 68 | North Central |
    | Montana | 1.8 | 16 | 89.6 | 23.8 | 21.4 | 4.9 | 33.4 | West |
    | Nebraska | 3.7 | 10.7 | 90.4 | 24.6 | 19.6 | 3 | 52.2 | North Central |
    | Nevada | 6.5 | 10.1 | 82.8 | 19.3 | 24.2 | 4.1 | 86.6 | West |
    | New_Hampshire | 1.8 | 7.6 | 88.1 | 30.1 | 20 | 2.8 | 60.3 | Northeast |
    | New_Jersey | 3.4 | 8.1 | 87.3 | 30.1 | 20.2 | 3.8 | 100 | Northeast |
    | New_Mexico | 7.4 | 19.3 | 82.2 | 23.6 | 26.6 | 4.9 | 57 | West |
    | New_York | 5 | 14.7 | 82.5 | 28.7 | 26 | 4.6 | 91.9 | Northeast |
    | North_Carolina | 7 | 13.2 | 79.2 | 23.2 | 24.3 | 3.6 | 67.2 | South |
    | North_Dakota | 0.6 | 12.8 | 85.5 | 22.6 | 19.1 | 3 | 43.4 | North Central |
    | Ohio | 3.7 | 11.1 | 87 | 24.6 | 24.6 | 4.1 | 80.9 | North Central |
    | Oklahoma | 5.3 | 14.1 | 86.1 | 22.5 | 23.5 | 3 | 60.6 | South |
    | Oregon | 2 | 12.9 | 88.1 | 27.2 | 22.5 | 4.9 | 72.8 | West |
    | Pennsylvania | 4.9 | 9.8 | 85.7 | 24.3 | 22.8 | 4.2 | 84.5 | Northeast |
    | Rhode_Island | 4.3 | 10.2 | 81.3 | 26.4 | 27.4 | 4.1 | 93.8 | Northeast |
    | South_Carolina | 5.8 | 12 | 83 | 19 | 27.1 | 3.9 | 70.2 | South |
    | South_Dakota | 0.9 | 9.4 | 91.8 | 25.7 | 20.7 | 2.3 | 34.5 | North Central |
    | Tennessee | 7.2 | 13.4 | 79.9 | 22 | 27.9 | 3.9 | 67.9 | South |
    | Texas | 5.9 | 14.9 | 79.2 | 23.9 | 21.5 | 4.2 | 84.6 | South |
    | Utah | 1.9 | 8.1 | 90.7 | 26.4 | 13.6 | 3.2 | 76.4 | West |
    | Vermont | 1.5 | 10.3 | 90 | 28.8 | 22.5 | 2.9 | 27.9 | Northeast |
    | Virginia | 5.7 | 8.1 | 86.6 | 31.9 | 22.2 | 2.2 | 78.2 | South |
    | Washington | 3.3 | 9.5 | 91.8 | 28.6 | 22.1 | 5.2 | 83 | West |
    | West_Virginia | 2.5 | 15.8 | 77.1 | 15.3 | 22.3 | 5.5 | 41.9 | South |
    | Wisconsin | 3.2 | 9 | 86.7 | 23.8 | 21.7 | 3.5 | 67.8 | North Central |
    | Wyoming | 2.4 | 11.1 | 90 | 20.6 | 20.8 | 3.9 | 29.6 | West |

    **## ProjectTemplate.docx**

    ### 1. Introduction

    _Discuss the statement of the problem in terms of the statistical analyses that are being performed. Be sure to address the following:_

    What is the data set that you are exploring?

    How will your results be used?

    What type of analyses will you be running in this project? Explain.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 2. Data Preparation

    1. What are the variables stored in crime.csv?

    2.
    **Give an overall description about your data set.**

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note before submitting! Do not include R/Excel code in your report._

    ### 3. Simple Linear Regression: Create a simple linear regression model to predict the murder rate using single.parent.

    In general, how is a simple linear regression model used to predict the response variable using the predictor variable?

    Why you decide to use linear regression for this data set? Justify your option.

    What is the equation for your model?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    What is the predicted murder rate for a state that has single.paren of 25.4? Round your answer down to the nearest integer.

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291) Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 3. Multiple Regression: Create a multiple linear regression model to predict the murder rate using all important variables.

    In general, how is a multiple linear regression model used to predict the response variable using predictor variables?

    Report the P-value in a formatted table as shown below:

    | | |
    | — | — |
    | **Statistic** | **Value** |
    | P-value | X.XXXX<br>_*Round off to 4 decimal places._ |

    Based on the results of the overall p- value, is at least one of the predictors statistically significant in predicting the murder rate?

    List all the important variables to predict the murder rate based on p-value.

    Report and interpret the coefficient of determination.

    What is the equation for your model?

    What is the predicted murder rate based on your final multiple regression model (assume some random values for your variables)?

    _![](https://www.sweetstudy.com/questions/business-statistics-project-20902291)__Answer the questions in a paragraph response. Remove all questions and this note (but not the table) before submitting! Do not include R/Excel code in your report._

    ### 4. Conclusion

    _Describe the results of the statistical analyses clearly, using proper descriptions of statistical terms and concepts. Fully describe what these results mean for your scenario._

    Briefly summarize your findings in plain language.

    What is the practical importance of the analyses that were performed?

    ### 5. Citations

    _You were_
    _**not**_ _required to use external resources for this report. If you did not use any resources, you should remove this entire section. However, if you did use any resources to help you with your interpretation, you_
    _**must**_ _cite them. Use proper APA format for citations._

    Insert references here in the following format:

    Author's Last Name, First Initial. Middle Initial. (Year of Publication). Title of book: Subtitle of book, edition. Place of Publication: Publisher.

    _You must use the following template for your report:_

    Section 1. Answers to the specific questions asked

    Section 2: Excel code. No points may be given if a brief look at the code does not tell us what it is

    doing.

    Consider the crime data stored in crime.csv. We would like to understand how murder rate is

    related to the other variables in the dataset.
    (a) Build a linear regression model murder rate vs single.parent and comment on your model.
    (b) Build a multiple linear regression model to predict murder rate based on the other variables.
    The model should have all the important variables and it should not have any unimportant
    variables. Be sure to explore the interactions as well. Perform model diagnostics to check the
    standard model assumptions and perform any transformations needed to obtain a model for
    which the assumptions reasonably hold.
    (c) Use your final model to predict murder rate.

    Context of data

    This dataset compiles crime records from 51 states, featuring a condensed set of fields that center around key attributes like the unemployment rate, single parent rate, college-educated people rate, and more. Your role as a data analyst is to compute the crime rate for each state by leveraging the specified attributes in the dataset. Apply your understanding of both simple and multiple linear regression analysis, acquired in our class, to predict the crime rate effectively.

    **image2.png**

    **## crime.csv**

    | | | | | | | | | |
    | — | — | — | — | — | — | — | — | — |
    | state | murder.rate | poverty | high.school | college | single.parent | unemployed | metropolitan | region |
    | Alabama | 7.4 | 14.7 | 77.5 | 20.4 | 26 | 4.6 | 70.2 | South |
    | Alaska | 4.3 | 8.4 | 90.4 | 28.1 | 23.2 | 6.6 | 41.6 | West |
    | Arizona | 7 | 13.5 | 85.1 | 24.6 | 23.5 | 3.9 | 87.9 | West |
    | Arkansas | 6.3 | 15.8 | 81.7 | 18.4 | 24.7 | 4.4 | 49 | South |
    | California | 6.1 | 14 | 81.2 | 27.5 | 21.8 | 4.9 | 96.7 | West |
    | Colorado | 3.1 | 8.5 | 89.7 | 34.6 | 20.8 | 2.7 | 84 | West |
    | Connecticut | 2.9 | 7.7 | 88.2 | 31.6 | 22.9 | 2.3 | 95.6 | Northeast |
    | Delaware | 3.2 | 9.9 | 86.1 | 24 | 25.6 | 4 | 81.4 | South |
    | Florida | 5.6 | 12 | 84 | 22.8 | 26.5 | 3.6 | 93 | South |
    | Georgia | 8 | 12.5 | 82.6 | 23.1 | 25.5 | 3.7 | 69.1 | South |
    | Hawaii | 2.9 | 10.6 | 87.4 | 26.3 | 19.1 | 4.3 | 72.9 | West |
    | Idaho | 1.2 | 13.3 | 86.2 | 20 | 17.7 | 4.9 | 38.6 | West |
    | Illinois | 7.2 | 10.5 | 85.5 | 27.1 | 21.9 | 4.4 | 84.5 | North Central |
    | Indiana | 5.8 | 8.3 | 84.6 | 17.1 | 22.8 | 3.2 | 71.8 | North Central |
    | Iowa | 1.6 | 7.9 | 89.7 | 25.5 | 19.8 | 2.6 | 44.9 | North Central |
    | Kansas | 6.3 | 10.5 | 88.1 | 27.3 | 20.2 | 3.7 | 56.8 | North Central |
    | Kentucky | 4.8 | 12.5 | 78.7 | 20.5 | 23.2 | 4.1 | 48.4 | South |
    | Lousiana | 12.5 | 18.5 | 80.8 | 22.5 | 29.3 | 5.5 | 75.2 | South |
    | Maine | 1.2 | 9.8 | 89.3 | 24.1 | 23.7 | 3.5 | 36.3 | Northeast |
    | Maryland | 8.1 | 7.3 | 85.7 | 32.3 | 24.5 | 3.9 | 92.7 | South |
    | Massachusetts | 2 | 10.2 | 85.1 | 32.7 | 22.8 | 2.6 | 92.1 | Northeast |
    | Michigan | 6.7 | 10.2 | 86.2 | 23 | 24.5 | 3.6 | 82.5 | North Central |
    | Minnesota | 3.1 | 7.9 | 90.8 | 31.2 | 19.6 | 3.3 | 70.3 | North Central |
    | Mississippi | 9 | 15.5 | 80.3 | 18.7 | 30 | 5.7 | 36.2 | South |
    | Missouri | 6.2 | 9.8 | 86.6 | 26.2 | 24.3 | 3.5 | 68 | North Central |
    | Montana | 1.8 | 16 | 89.6 | 23.8 | 21.4 | 4.9 | 33.4 | West |
    | Nebraska | 3.7 | 10.7 | 90.4 | 24.6 | 19.6 | 3 | 52.2 | North Central |
    | Nevada | 6.5 | 10.1 | 82.8 | 19.3 | 24.2 | 4.1 | 86.6 | West |
    | New_Hampshire | 1.8 | 7.6 | 88.1 | 30.1 | 20 | 2.8 | 60.3 | Northeast |
    | New_Jersey | 3.4 | 8.1 | 87.3 | 30.1 | 20.2 | 3.8 | 100 | Northeast |
    | New_Mexico | 7.4 | 19.3 | 82.2 | 23.6 | 26.6 | 4.9 | 57 | West |
    | New_York | 5 | 14.7 | 82.5 | 28.7 | 26 | 4.6 | 91.9 | Northeast |
    | North_Carolina | 7 | 13.2 | 79.2 | 23.2 | 24.3 | 3.6 | 67.2 | South |
    | North_Dakota | 0.6 | 12.8 | 85.5 | 22.6 | 19.1 | 3 | 43.4 | North Central |
    | Ohio | 3.7 | 11.1 | 87 | 24.6 | 24.6 | 4.1 | 80.9 | North Central |
    | Oklahoma | 5.3 | 14.1 | 86.1 | 22.5 | 23.5 | 3 | 60.6 | South |
    | Oregon | 2 | 12.9 | 88.1 | 27.2 | 22.5 | 4.9 | 72.8 | West |
    | Pennsylvania | 4.9 | 9.8 | 85.7 | 24.3 | 22.8 | 4.2 | 84.5 | Northeast |
    | Rhode_Island | 4.3 | 10.2 | 81.3 | 26.4 | 27.4 | 4.1 | 93.8 | Northeast |
    | South_Carolina | 5.8 | 12 | 83 | 19 | 27.1 | 3.9 | 70.2 | South |
    | South_Dakota | 0.9 | 9.4 | 91.8 | 25.7 | 20.7 | 2.3 | 34.5 | North Central |
    | Tennessee | 7.2 | 13.4 | 79.9 | 22 | 27.9 | 3.9 | 67.9 | South |
    | Texas | 5.9 | 14.9 | 79.2 | 23.9 | 21.5 | 4.2 | 84.6 | South |
    | Utah | 1.9 | 8.1 | 90.7 | 26.4 | 13.6 | 3.2 | 76.4 | West |
    | Vermont | 1.5 | 10.3 | 90 | 28.8 | 22.5 | 2.9 | 27.9 | Northeast |
    | Virginia | 5.7 | 8.1 | 86.6 | 31.9 | 22.2 | 2.2 | 78.2 | South |
    | Washington | 3.3 | 9.5 | 91.8 | 28.6 | 22.1 | 5.2 | 83 | West |
    | West_Virginia | 2.5 | 15.8 | 77.1 | 15.3 | 22.3 | 5.5 | 41.9 | South |
    | Wisconsin | 3.2 | 9 | 86.7 | 23.8 | 21.7 | 3.5 | 67.8 | North Central |
    | Wyoming | 2.4 | 11.1 | 90 | 20.6 | 20.8 | 3.9 | 29.6 | West |

  • [Solved] Adv path wk9

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    In this exercise, you will complete a Mind Map to gauge your understanding of this week’s content. Select one of the possible topics provided to complete your MindMap assignment. – Generalized anxiety disorder – Depression – Bipolar disorders – Schizophrenia – Delirium and dementia – Obsessive compu…

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    In this exercise, you will complete a Mind Map to gauge your understanding of this week’s content. Select one of the possible topics provided to complete your MindMap assignment.

    – Generalized anxiety disorder
    – Depression
    – Bipolar disorders
    – Schizophrenia
    – Delirium and dementia
    – Obsessive compulsive disease

    – a year ago

  • [Solved] Prospectus

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    APA format, in-text citations Review the prospectus form and add details if needed. Make sure the answer include the full text of 5 articles that use. – [\ \ Needed.docx](https://www.sweetstudy.com/files/needed-docx-10275203 "Needed.docx") – [\ \ Prospectusform1.docx](https://www.sweetstudy.com/…

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    Assignment Prompt & Instructions

    APA format, in-text citations

    Review the prospectus form and add details if needed. Make sure the answer include the full text of 5 articles that use.

    – [\
    \
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    – [\
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  • [Solved] 5-1 Short Paper: Human Resource Practices and Volunteerism in Sport Facilities

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    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management) Human resource management in sport facilities is a critical aspect of effective operations, encompassing a diverse range of employees, volunteers, and clients. In this assignment, you will examine the growing …

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    [>Management homework help](https://www.sweetstudy.com/fields/business-finance-management)

    Human resource management in sport facilities is a critical aspect of effective operations, encompassing a diverse range of employees, volunteers, and clients. In this assignment, you will examine the growing complexity of human resource management and explore how the practices you implement directly impact the overall success of a sport facility

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    english composition – a year ago

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  • [Solved] Reaction

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    – a year ago **files (1)** – ## ReactionPaper.docx **## ReactionPaper.docx** Students will write a reaction paper to one of the chapters covered in Rosenberg & Rosenberg textbook or one of the peer-reviewed papers listed under Additional Recommended Textbooks and Other Course Materials on syllabus. …

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    – a year ago

    **files (1)**

    – ## ReactionPaper.docx

    **## ReactionPaper.docx**

    Students will write a reaction paper to one of the chapters covered in Rosenberg & Rosenberg textbook or one of the peer-reviewed papers listed under Additional Recommended Textbooks and Other Course Materials on syllabus. At least 2 Pages, double-spaced, and typed.

    I couldn’t get you the chapter in Rosenberg & Rosenberg textbook. But one of the peer reviewed papers listed under Additional Recommended Textbooks is as follow :

    _Achieving the promise Authors: United States. President's New Freedom Commission on Mental Health Publication Date: 2003-01-01_

    Here’s the link to paper.
    https://dmh.mo.gov/media/pdf/achieving-promise-transforming-mental-health-care-america-report

    **_Grading Rubric: Total Possible Points: 10_**

    **Introduction**

    Clear thesis statement and purpose

    · Objectives and main points are clear

    · Relevant to topic

    **Content**

    · Accurate information

    · Analysis of data

    · Explanation and illustration of concepts

    **Reaction**

    · -Clear opinions and reactions

    · -Well-developed arguments

    **Style and Organization**

    · Clear and helpful transitions from idea to idea

    · Well-developed paragraphs

    · Compositional rules

    · Grammatical and punctuation rules followed

    · Referencing

    · Compositional style

    · Clarity of expression

    · Conciseness

    · Creativeness of expression

    · Appropriate language

    · Form

    · Superior form (spelling, typing, proofreading)

    · Appropriate margins, font, page length

    · 1” margins, Arial/Times New Roman 12pt Font), two to three pages, double-spaced, and typed

    **Conclusion**

    · Logical progression to ending

    · Summary of analysis

    · Reiteration of thesis statement

    References

    **## ReactionPaper.docx**

    Students will write a reaction paper to one of the chapters covered in Rosenberg & Rosenberg textbook or one of the peer-reviewed papers listed under Additional Recommended Textbooks and Other Course Materials on syllabus. At least 2 Pages, double-spaced, and typed.

    I couldn’t get you the chapter in Rosenberg & Rosenberg textbook. But one of the peer reviewed papers listed under Additional Recommended Textbooks is as follow :

    _Achieving the promise Authors: United States. President's New Freedom Commission on Mental Health Publication Date: 2003-01-01_

    Here’s the link to paper.
    https://dmh.mo.gov/media/pdf/achieving-promise-transforming-mental-health-care-america-report

    **_Grading Rubric: Total Possible Points: 10_**

    **Introduction**

    Clear thesis statement and purpose

    · Objectives and main points are clear

    · Relevant to topic

    **Content**

    · Accurate information

    · Analysis of data

    · Explanation and illustration of concepts

    **Reaction**

    · -Clear opinions and reactions

    · -Well-developed arguments

    **Style and Organization**

    · Clear and helpful transitions from idea to idea

    · Well-developed paragraphs

    · Compositional rules

    · Grammatical and punctuation rules followed

    · Referencing

    · Compositional style

    · Clarity of expression

    · Conciseness

    · Creativeness of expression

    · Appropriate language

    · Form

    · Superior form (spelling, typing, proofreading)

    · Appropriate margins, font, page length

    · 1” margins, Arial/Times New Roman 12pt Font), two to three pages, double-spaced, and typed

    **Conclusion**

    · Logical progression to ending

    · Summary of analysis

    · Reiteration of thesis statement

    References