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Tag: Human Resource Management Case Studies & Problem Sets

  • [Solved] Negotiation

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    Describe in specific details how you would approach the negotiation using these strategies.

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    Describe in specific details how you would approach the negotiation using these strategies.

  • [Solved] Human Resource Management HR Assignment 2.5

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    Use a Word document to answer the questions below. Make sure to create MLA header format. Provide a thorough response for each question. Please answer in complete sentences. 1. What makes Montgomery County, Ohio, an “epicenter” for opioid/fentanyl overdoses? 2. Discuss the relationship between the e…

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    Use a Word document to answer the questions below. Make sure to create MLA header format. Provide a thorough response for each question. Please answer in complete sentences.

    1.       What makes Montgomery County, Ohio, an “epicenter” for opioid/fentanyl overdoses?

    2.      Discuss the relationship between the epidemic and children.

    3.      For law enforcement officers, what is difficult about policing fentanyl sales?

    4.      Discuss the multiple ways fentanyl gets into the United States.

  • [Solved] Help Needed by March 6th!

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    Help Needed by March 6th !! See attachments! No Plagiarism. – [\ \ Week10.png](https://www.sweetstudy.com/files/week10-png-10504681 "Week10.png") – [\ \ Week10Screenshot2.png](https://www.sweetstudy.com/files/week10screenshot2-png "Week10Screenshot2.png") – [\ \ Week10Screenshot3.png](https://…

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    Help Needed by March 6th !! See attachments! No Plagiarism.

    – [\
    \
    Week10.png](https://www.sweetstudy.com/files/week10-png-10504681 "Week10.png")
    – [\
    \
    Week10Screenshot2.png](https://www.sweetstudy.com/files/week10screenshot2-png "Week10Screenshot2.png")
    – [\
    \
    Week10Screenshot3.png](https://www.sweetstudy.com/files/week10screenshot3-png "Week10Screenshot3.png")
    – [\
    \
    Week10Screenshot4.png](https://www.sweetstudy.com/files/week10screenshot4-png "Week10Screenshot4.png")
    – [\
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    Week10Screenshot5.png](https://www.sweetstudy.com/files/week10screenshot5-png "Week10Screenshot5.png")

  • [Solved] case 4

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    **files (1)** – ## Case4.docx **## Case4.docx** Case 4 **Module 4 – Case** **People/Predictive Analytics** **Assignment Overview** **Signature Assignment: Quantitative Reasoning, Emphasized Level** In this assignment, your quantitative reasoning skills will be assessed. The Quantitative Reasoning ru…

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    **files (1)**

    – ## Case4.docx

    **## Case4.docx**

    Case 4

    **Module 4 – Case**

    **People/Predictive Analytics**

    **Assignment Overview**

    **Signature Assignment: Quantitative Reasoning, Emphasized Level**

    In this assignment, your quantitative reasoning skills will be assessed. The Quantitative Reasoning rubric will be useful for this purpose. In MGT511 quantitative reasoning skills were assessed at the “introduced” level. In HRM520 they were assessed at the “reinforced” level. Finally, in this course your skills will be assessed at the “emphasized” level.

    The math that we learned in high school and perhaps relearned in college has applications in nearly all fields including human resource management. In this case assignment we will look at something as simple as straight lines, as in linear equations.

    Straight lines play an important role in a wide variety of applications, in many fields including business.

    An equation with two variables is a linear equation. Many relationships are linear or almost linear, so that they can be approximated by linear equations.

    [_If you need a refresher on solving equations, watch the Khan Academy, level 2 video_](https://www.khanacademy.org/math/algebra-home/alg-basic-eq-ineq/alg-old-school-equations/v/algebra-linear-equations-2) retrieved from https://www.khanacademy.org/math/algebra-home/alg-basic-eq-ineq/alg-old-school-equations/v/algebra-linear-equations-2

    **Example:**

    The following linear equation is useful to make a future projection:

    In 1970, there were 37,000 shopping malls in the United States.

    Even with the growth of online shopping, in 2017 there were 116,000 shopping malls.

    If this growth continues, how many shopping malls will there be in 2030?

    Let’s use two variables:

    y = number of shopping centers

    x = number of years after 1970

    So, to put this in an equation:

    So, the linear equation is y = 1681x + 37,000

    Now, assuming that this equation remains valid in the future, we can predict how many shopping malls there will be in 2030:

    There are 60 years between 1970 and 2030.

    y = 1681(60) + 37,000

    y = 100,860 + 37,000 or 137,860 shopping malls in 2030.

    This example probably reminds you that there might be other factors going on that will not make this equation valid in the future. But, for our purposes, it shows if all things stay the same, we can make future predictions.

    There are many different examples of ways linear equations are used in real life—for example, distance traveled by a bus compared with distance traveled by a bicycle. Which one will get to work on time? Or, production rates—will employees who are slow producers make as many products over time as employees who are only speedy during the first part of the shift? This type of linear application can also be applied, of course, to pricing, dimensions, and mixing raw products. For example, if we have two semi-trucks of products moving toward each other at different speeds to reach the same point, which one will reach the dock sooner? Another example is estimating how much a box of 60 safety glasses on sale for $120 and marked down by 35 percent cost before the sale.

    Yet another example of a real-life linear equation is estimating the dimensions of office shelving whose width needs to be four times its height, given that the wood available for use is 72 feet. Or, estimating how much a company pays a vendor for raw material that was priced yesterday for $800, but today has been marked up 25 percent.

    **Case Assignment**

    Now it is your turn. For the Module 4 Case Assignment, solve the following three problems, completing a, b, and c for each problem. In “b” for each, explain step by step how you arrived at the answer. And in “c” for each, conduct research to arrive at a strong (informative) paragraph, being sure to cite sources.

    **Problem #1:** According to the U. S. Bureau of Labor Statistics, there were about 16.3 million union workers in 2000 and 14.7 million union workers in 2018.

    a. If the change in the number of union workers is considered to be linear, write an equation expressing the number y of union workers in terms of the number x of years since 2000.

    b. Assuming that the equation in part "a" remains accurate, use it to predict the number of union workers in 2050.

    c. Is the number that you came up with in 1b realistic? Why or why not? What can interfere with the future number of union workers that the equation does not account for?

    **Problem #2:** According to the U.S. Bureau of Labor Statistics, in 1990, 529,000 people worked in the air transportation industry. In 2018, the number was 498,780.

    a. Find a linear equation giving the number of employees in the air transportation industry in terms of x, the number of years since 1990.

    b. Assuming the equation remains valid in the future, in what year will there be 400,000 employees in the air transportation industry?

    c. Is the number you came up with in 2b realistic? Why or why not? What can interfere with the future number of employees working in the air transportation industry that the equation does not account for?

    **Problem #3:** The U.S. Bureau of Labor Statistics estimated that in 1990, 1.1 million people worked in the truck transportation industry. In 2018, the number was 1.5 million.

    a. Find a linear equation giving the number of employees in the truck transportation industry in terms of x, the number of years since 1990.

    b. Assuming the equation remains valid in the future, in what year will there be 2.5 million employees in the truck transportation industry?

    c. Is the number you came up with in 3b realistic? Why or why not? What can interfere with the future number of employees working in the trucking industry that the equation does not account for?

    Source: U.S. Bureau of Labor Statistics.
    [_Occupational employment statistics_](https://www.bls.gov/oes/current/naics4_484000.htm). Retrieved from
    https://www.bls.gov/oes/current/naics4_484000.htm#00-0000.

    **Assignment Expectations**

    · Critical Thinking: Expresses quantitative analysis of data to support the discussion showing what evidence is used and how it is contextualized.

    · Interpretation: explains information presented in mathematical terms (e.g., equations, graphs, diagrams, tables, and/or words).

    · Presentation: Able to convert relevant information into various mathematical terms (e.g., equations, graphs, diagrams, tables, and/or words).

    · Conclusions: Draws appropriate conclusions based on the analysis of factual information/data.

    · Timeliness: Submits assignment on time or with professor’s pre-approved assignment extension.

    **## Case4.docx**

    Case 4

    **Module 4 – Case**

    **People/Predictive Analytics**

    **Assignment Overview**

    **Signature Assignment: Quantitative Reasoning, Emphasized Level**

    In this assignment, your quantitative reasoning skills will be assessed. The Quantitative Reasoning rubric will be useful for this purpose. In MGT511 quantitative reasoning skills were assessed at the “introduced” level. In HRM520 they were assessed at the “reinforced” level. Finally, in this course your skills will be assessed at the “emphasized” level.

    The math that we learned in high school and perhaps relearned in college has applications in nearly all fields including human resource management. In this case assignment we will look at something as simple as straight lines, as in linear equations.

    Straight lines play an important role in a wide variety of applications, in many fields including business.

    An equation with two variables is a linear equation. Many relationships are linear or almost linear, so that they can be approximated by linear equations.

    [_If you need a refresher on solving equations, watch the Khan Academy, level 2 video_](https://www.khanacademy.org/math/algebra-home/alg-basic-eq-ineq/alg-old-school-equations/v/algebra-linear-equations-2) retrieved from https://www.khanacademy.org/math/algebra-home/alg-basic-eq-ineq/alg-old-school-equations/v/algebra-linear-equations-2

    **Example:**

    The following linear equation is useful to make a future projection:

    In 1970, there were 37,000 shopping malls in the United States.

    Even with the growth of online shopping, in 2017 there were 116,000 shopping malls.

    If this growth continues, how many shopping malls will there be in 2030?

    Let’s use two variables:

    y = number of shopping centers

    x = number of years after 1970

    So, to put this in an equation:

    So, the linear equation is y = 1681x + 37,000

    Now, assuming that this equation remains valid in the future, we can predict how many shopping malls there will be in 2030:

    There are 60 years between 1970 and 2030.

    y = 1681(60) + 37,000

    y = 100,860 + 37,000 or 137,860 shopping malls in 2030.

    This example probably reminds you that there might be other factors going on that will not make this equation valid in the future. But, for our purposes, it shows if all things stay the same, we can make future predictions.

    There are many different examples of ways linear equations are used in real life—for example, distance traveled by a bus compared with distance traveled by a bicycle. Which one will get to work on time? Or, production rates—will employees who are slow producers make as many products over time as employees who are only speedy during the first part of the shift? This type of linear application can also be applied, of course, to pricing, dimensions, and mixing raw products. For example, if we have two semi-trucks of products moving toward each other at different speeds to reach the same point, which one will reach the dock sooner? Another example is estimating how much a box of 60 safety glasses on sale for $120 and marked down by 35 percent cost before the sale.

    Yet another example of a real-life linear equation is estimating the dimensions of office shelving whose width needs to be four times its height, given that the wood available for use is 72 feet. Or, estimating how much a company pays a vendor for raw material that was priced yesterday for $800, but today has been marked up 25 percent.

    **Case Assignment**

    Now it is your turn. For the Module 4 Case Assignment, solve the following three problems, completing a, b, and c for each problem. In “b” for each, explain step by step how you arrived at the answer. And in “c” for each, conduct research to arrive at a strong (informative) paragraph, being sure to cite sources.

    **Problem #1:** According to the U. S. Bureau of Labor Statistics, there were about 16.3 million union workers in 2000 and 14.7 million union workers in 2018.

    a. If the change in the number of union workers is considered to be linear, write an equation expressing the number y of union workers in terms of the number x of years since 2000.

    b. Assuming that the equation in part "a" remains accurate, use it to predict the number of union workers in 2050.

    c. Is the number that you came up with in 1b realistic? Why or why not? What can interfere with the future number of union workers that the equation does not account for?

    **Problem #2:** According to the U.S. Bureau of Labor Statistics, in 1990, 529,000 people worked in the air transportation industry. In 2018, the number was 498,780.

    a. Find a linear equation giving the number of employees in the air transportation industry in terms of x, the number of years since 1990.

    b. Assuming the equation remains valid in the future, in what year will there be 400,000 employees in the air transportation industry?

    c. Is the number you came up with in 2b realistic? Why or why not? What can interfere with the future number of employees working in the air transportation industry that the equation does not account for?

    **Problem #3:** The U.S. Bureau of Labor Statistics estimated that in 1990, 1.1 million people worked in the truck transportation industry. In 2018, the number was 1.5 million.

    a. Find a linear equation giving the number of employees in the truck transportation industry in terms of x, the number of years since 1990.

    b. Assuming the equation remains valid in the future, in what year will there be 2.5 million employees in the truck transportation industry?

    c. Is the number you came up with in 3b realistic? Why or why not? What can interfere with the future number of employees working in the trucking industry that the equation does not account for?

    Source: U.S. Bureau of Labor Statistics.
    [_Occupational employment statistics_](https://www.bls.gov/oes/current/naics4_484000.htm). Retrieved from
    https://www.bls.gov/oes/current/naics4_484000.htm#00-0000.

    **Assignment Expectations**

    · Critical Thinking: Expresses quantitative analysis of data to support the discussion showing what evidence is used and how it is contextualized.

    · Interpretation: explains information presented in mathematical terms (e.g., equations, graphs, diagrams, tables, and/or words).

    · Presentation: Able to convert relevant information into various mathematical terms (e.g., equations, graphs, diagrams, tables, and/or words).

    · Conclusions: Draws appropriate conclusions based on the analysis of factual information/data.

    · Timeliness: Submits assignment on time or with professor’s pre-approved assignment extension.

  • [Solved] discussion 4

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    **files (1)** – ## Discussion4.docx **## Discussion4.docx** Discussion 4 **What do you really think about HRM?** Now that you are about finished with your MSHRM program, stop and pat yourself on the back! You started this educational journey to finish it! In this Module 4 discussion, please share wh…

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    **files (1)**

    – ## Discussion4.docx

    **## Discussion4.docx**

    Discussion 4

    **What do you really think about HRM?**

    Now that you are about finished with your MSHRM program, stop and pat yourself on the back! You started this educational journey to finish it!

    In this Module 4 discussion, please share what you think about HRM.

    For example,

    · Is the future of HRM and your role in it an exciting one for you? Do you think that HR professionals favor using soft skills over quantitative skills? Does this describe you?

    · In your educated opinion, what HR metrics will not be as important in the workplace of the future? Will there be new metrics that will become more important? Discuss.

    · What would be the major impact on society if Lawler’s predictions come true?

    Support your post with additional information from at least two reputable sources (library and/or Web-based). Cite your sources.

    **## Discussion4.docx**

    Discussion 4

    **What do you really think about HRM?**

    Now that you are about finished with your MSHRM program, stop and pat yourself on the back! You started this educational journey to finish it!

    In this Module 4 discussion, please share what you think about HRM.

    For example,

    · Is the future of HRM and your role in it an exciting one for you? Do you think that HR professionals favor using soft skills over quantitative skills? Does this describe you?

    · In your educated opinion, what HR metrics will not be as important in the workplace of the future? Will there be new metrics that will become more important? Discuss.

    · What would be the major impact on society if Lawler’s predictions come true?

    Support your post with additional information from at least two reputable sources (library and/or Web-based). Cite your sources.

  • [Solved] paraphrase of 2800 words

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    Keep the headings and hypotheses as they are. I need to paraphrase this report to remove any AI-generated content as this report will be checked by Turnitin. Also, I need you to check this report by Turnitin and attach me the report with 0 AI CONTENT. I need full paraphrase in a professional manner …

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    Keep the headings and hypotheses as they are. I need to paraphrase this report to remove any AI-generated content as this report will be checked by Turnitin. Also, I need you to check this report by Turnitin and attach me the report with 0 AI CONTENT. I need full paraphrase in a professional manner while maintaining the same number of words (2800 words) because it is the required number of words for this report. The required number of words after paraphrase should be 2800 words exactly excluding the references. The content should be paraphrased while keeping the same idea flow, meaning, and references used. Also, the same headings and order and formatting should be left as it is. The referencing style used is APA version 7.

    You should understand the idea and then regenerate it in your own words.

    I need the report within 1 day.

    – [\
    \
    SAMAR.docx](https://www.sweetstudy.com/files/samar-docx "SAMAR.docx")

  • [Solved] HR 2.7

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    **files (1)** – ## MLA-SignalPhraseIn-textDirectQuoteAssignment_9661588.docx **## MLA-SignalPhraseIn-textDirectQuoteAssignment_9661588.docx** Assessment for ENG 112 Signal Phrases, Direct Quotes, and Parenthetical Citations Read each item and **follow the directions carefully,** as each will requi…

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    **files (1)**

    – ## MLA-SignalPhraseIn-textDirectQuoteAssignment_9661588.docx

    **## MLA-SignalPhraseIn-textDirectQuoteAssignment_9661588.docx**

    Assessment for ENG 112

    Signal Phrases, Direct Quotes, and Parenthetical Citations

    Read each item and
    **follow the directions carefully,** as each will require you to demonstrate different citation skills. Use the original source material and information given to complete each item. Type your answers in a new document.

    **Item 1:** Directly quote one sentence from the passage below. Introduce the quote with a signal phrase that identifies the author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title:
    _Last Child in the Woods_

    Author: Richard Louv

    Publisher: Algonquin Books of Chapel Hill

    Date of Publication: 2008

    Page information is found on: 123

    Source material: Fear is the most potent force that prevents parents from allowing their children the freedom they themselves enjoyed when they were young. Fear is the emotion that separates a developing child from the full,
    _essential_ benefits of nature. Fear of traffic, of crime, of stranger-danger–and of nature itself.

    **Item 2:** Directly quote one sentence from the passage below. Decide how to best construct the signal phrase for this source with no known author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title: “Amy Winehouse Whines”

    Author: no author given

    Title of periodical:
    _The Varsity_

    Publisher: Cambridge UP

    Date of Publication: March 5, 2004

    Page information is found on: 20

    Source material: In today’s bland, market-oriented music culture, it’s hard to see the Britneys and Beyonces strutting their musical prowess free from record company and press compromises. Amy Winehouse, however, looks and sounds like she’s doing exactly what she wants, making music in a way that’s true to her soul. Her debut album,
    _Frank_, showcases her unique brand of soulful jazz fused with contemporary beats and is winning critical acclaim.

    **Item 3:** Directly quote one sentence from the passage below. Introduce the quote with a signal phrase that does not identify the author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title:
    _The Birth Order Book: Why You Are the Way You Are_

    Author: Dr. Kevin Leman

    Publisher: Revell

    Date of Publication: 1998

    Page information is found on: 17

    Source material: Because family and friends take the first born seriously, he or she often develops greater confidence. It’s no wonder that first borns go on to become president of the club, the company, and even the country. While over 50 percent of U.S. presidents have been first borns or functional first borns, only three have been true babies.

    **Item 4:** Directly quote one sentence from the passage below. Decide how to best construct the signal phrase for this unpaginated source. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title: “The Rise of Incivility and Bullying in America”

    Author: Ray Williams

    Website: Psychology Today

    Date of Publication: July 15, 2012

    Page information is found on: This website has no page numbers

    Source material: Civil communication begins early. The more that incivility infiltrates our culture, the more we may become dangerously indifferent to its existence and pass it down to the next generation. Many Americans agree that there should be civility training at school and at work. Perhaps a national public education program starting in the schools, cities and public squares across America could turn the tide on incivility and help restore respect and pride as a country.

    **Item 5:** Directly quote the following passage
    **in its entirety** using proper MLA formatting techniques for a long quotation. Name the author in the signal phrase and format an appropriate MLA style parenthetical citation.

    Title:
    _The Automatic Millionaire_

    Author: David Bach

    Publisher: Broadway Books

    Date published: 2004

    Page information is found on: 61

    Source material: What most people do when they earn a dollar is pay everyone else first. They pay the landlord, the credit card company, the telephone company, the government, and on and on. The reason they think they need a budget is to help them figure out how much to pay everyone else so at the end of the month–or the year, or their working life–they will have something left over to pay themselves. This is absolutely, positively financially backwards.

    **## MLA-SignalPhraseIn-textDirectQuoteAssignment_9661588.docx**

    Assessment for ENG 112

    Signal Phrases, Direct Quotes, and Parenthetical Citations

    Read each item and
    **follow the directions carefully,** as each will require you to demonstrate different citation skills. Use the original source material and information given to complete each item. Type your answers in a new document.

    **Item 1:** Directly quote one sentence from the passage below. Introduce the quote with a signal phrase that identifies the author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title:
    _Last Child in the Woods_

    Author: Richard Louv

    Publisher: Algonquin Books of Chapel Hill

    Date of Publication: 2008

    Page information is found on: 123

    Source material: Fear is the most potent force that prevents parents from allowing their children the freedom they themselves enjoyed when they were young. Fear is the emotion that separates a developing child from the full,
    _essential_ benefits of nature. Fear of traffic, of crime, of stranger-danger–and of nature itself.

    **Item 2:** Directly quote one sentence from the passage below. Decide how to best construct the signal phrase for this source with no known author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title: “Amy Winehouse Whines”

    Author: no author given

    Title of periodical:
    _The Varsity_

    Publisher: Cambridge UP

    Date of Publication: March 5, 2004

    Page information is found on: 20

    Source material: In today’s bland, market-oriented music culture, it’s hard to see the Britneys and Beyonces strutting their musical prowess free from record company and press compromises. Amy Winehouse, however, looks and sounds like she’s doing exactly what she wants, making music in a way that’s true to her soul. Her debut album,
    _Frank_, showcases her unique brand of soulful jazz fused with contemporary beats and is winning critical acclaim.

    **Item 3:** Directly quote one sentence from the passage below. Introduce the quote with a signal phrase that does not identify the author. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title:
    _The Birth Order Book: Why You Are the Way You Are_

    Author: Dr. Kevin Leman

    Publisher: Revell

    Date of Publication: 1998

    Page information is found on: 17

    Source material: Because family and friends take the first born seriously, he or she often develops greater confidence. It’s no wonder that first borns go on to become president of the club, the company, and even the country. While over 50 percent of U.S. presidents have been first borns or functional first borns, only three have been true babies.

    **Item 4:** Directly quote one sentence from the passage below. Decide how to best construct the signal phrase for this unpaginated source. Use a neutral signal verb. Follow the quote with an appropriate MLA parenthetical citation.

    Title: “The Rise of Incivility and Bullying in America”

    Author: Ray Williams

    Website: Psychology Today

    Date of Publication: July 15, 2012

    Page information is found on: This website has no page numbers

    Source material: Civil communication begins early. The more that incivility infiltrates our culture, the more we may become dangerously indifferent to its existence and pass it down to the next generation. Many Americans agree that there should be civility training at school and at work. Perhaps a national public education program starting in the schools, cities and public squares across America could turn the tide on incivility and help restore respect and pride as a country.

    **Item 5:** Directly quote the following passage
    **in its entirety** using proper MLA formatting techniques for a long quotation. Name the author in the signal phrase and format an appropriate MLA style parenthetical citation.

    Title:
    _The Automatic Millionaire_

    Author: David Bach

    Publisher: Broadway Books

    Date published: 2004

    Page information is found on: 61

    Source material: What most people do when they earn a dollar is pay everyone else first. They pay the landlord, the credit card company, the telephone company, the government, and on and on. The reason they think they need a budget is to help them figure out how much to pay everyone else so at the end of the month–or the year, or their working life–they will have something left over to pay themselves. This is absolutely, positively financially backwards.

  • [Solved] Human Resource Management

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    Statistical Analysis **files (1)** – ## InstructionsRubric.docx **## InstructionsRubric.docx** Assignment Overview In this capstone project, you'll demonstrate your ability to leverage your full range of statistical and analytical skills to solve a real-world problem, either in a business or healthc…

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    Assignment Prompt & Instructions

    Statistical Analysis

    **files (1)**

    – ## InstructionsRubric.docx

    **## InstructionsRubric.docx**

    Assignment Overview

    In this capstone project, you'll demonstrate your ability to leverage your full range of statistical and analytical skills to solve a real-world problem, either in a business or healthcare context. This assessment will showcase your capability to frame statistical problems, conduct rigorous data analysis using Excel, and communicate your findings clearly and persuasively to guide decision-making.

    Assignment Objectives

    · Evaluate a real-world problem to determine its suitability for statistical analysis (CLO1).

    · Design an appropriate hypothesis and testing plan (CLO4).

    · Utilize Excel to collect, analyze, and present descriptive, inferential, or predictive statistical data (CLO3).

    · Analyze results from statistical analyses comprehensively (CLO5).

    · Recommend actionable and justified resolutions based on statistical findings (CLO2 & CLO6).

    Task Description

    Choose one of the following two scenarios based on your professional interests:

    **Scenario 1: Business Management Context** Your company, a retail chain, is experiencing fluctuating customer satisfaction ratings across various regions. Upper management is concerned about inconsistent customer experience affecting long-term brand reputation and profitability. You are tasked with statistically analyzing customer satisfaction data, sales trends, and regional demographics to identify key problem areas and opportunities for strategic improvement.

    **Scenario 2: Healthcare Management Context** Your healthcare facility is experiencing increasing patient wait times and inconsistent patient satisfaction scores across different departments. Senior management is concerned about the implications for patient care quality and overall operational efficiency. You are tasked with analyzing patient flow data, staffing patterns, and patient feedback surveys to identify underlying causes and recommend evidence-based operational improvements.

    **Steps for Completion**

    **Step 1: Problem Framing (CLO1)**

    · Clearly describe and frame your chosen scenario as a statistical problem.

    · Explain why the issue is suitable for statistical analysis, outlining the types of data required and potential outcomes.

    **Step 2: Hypothesis and Testing Plan (CLO4)**

    · Formulate specific, testable hypotheses related to your scenario.

    · Identify appropriate statistical tests and methods suitable for evaluating these hypotheses.

    · Clearly justify why these tests and methods are appropriate based on your data and objectives.

    **Step 3: Data Analysis and Visualization (CLO3 & CLO5)**

    · Utilize Excel to perform comprehensive data analysis (descriptive statistics, inferential tests, regression analyses, etc.).

    · Prepare clear and accurate visuals (charts, graphs, dashboards) to effectively illustrate your analytical results.

    · Provide insightful interpretations of your findings.

    **Step 4: Recommendations and Strategic Decisions (CLO2 & CLO6)**

    · Based on your analysis, formulate clear, practical, and actionable recommendations.

    · Clearly align each recommendation with specific statistical evidence from your analysis.

    · Discuss how your recommendations will practically address the identified problems and support strategic organizational decisions.

    Submission Format (Choose One)

    ·
    **Formal Business-Style Report:**

    · 3–5 pages, professionally formatted with embedded visuals (charts, graphs, dashboards).

    · Clearly organized into sections: Introduction, Methods, Results & Interpretation, Recommendations, and Conclusion.

    OR

    ·
    **Recorded Presentation:**

    · 5–7 minutes with voice-over narration of visual slides.

    · Organized clearly into slides covering: Introduction, Methods, Results & Interpretation, Recommendations, and Conclusion.

    | | | | | | | |
    | — | — | — | — | — | — | — |
    | **Criteria** | **Exemplary** | **Proficient** | **Developing** | **Needs Improvement** | **Not Submitted** | **Criterion Score** |
    | Problem Framing | 50 points<br>Clearly identifies and explicitly describes 3 elements: (1) Scenario clearly framed as a statistical problem, (2) Clear explanation of suitability for statistical analysis, (3) Clearly identifies types of data required. (25 pts) | 30 points<br>Explicitly describes 2 of 3 elements clearly. (20 pts) | 15 points<br>Clearly describes 1 of 3 elements clearly. (15 pts) | 10 points<br>Vague or unclear description without explicit identification of required elements. (10 pts) | 5 points<br>No submission or off-topic response. (0 pts) | Score of Problem Framing,<br>/ 50 |
    | Hypothesis and Testing Plan | 50 points<br>Explicitly and clearly defines 3 elements: (1) Clear, testable null and alternative hypotheses, (2) Appropriate statistical tests clearly identified, (3) Explicit justification clearly aligning tests to data and objectives. (30 pts) | 30 points<br>Explicitly describes 2 of 3 elements clearly. (24 pts) | 18 points<br>Clearly describes 1 of 3 elements explicitly. (18 pts) | 12 points<br>Unclear or vague identification of hypothesis or test; weak or no justification. (12 pts) | 6 points<br>No submission or irrelevant response. (0 pts) | Score of Hypothesis and Testing Plan,<br>/ 50 |
    | Data Analysis & Visualization | 40 points<br>Clearly presents and explicitly completes 4 elements: (1) Accurate descriptive/inferential statistical analyses, (2) Comprehensive Excel analysis shown, (3) Effective, clear, and accurate visuals (charts/graphs), (4) Insightful interpretation of findings clearly provided. (35 pts) | 28 points<br>Clearly presents 3 of 4 elements explicitly. (28 pts) | 21 points<br>Clearly presents 2 of 4 elements explicitly. (21 pts) | 14 points<br>Vague, unclear, or limited data analysis/visualization with minimal interpretation. (14 pts) | 7 points<br>No submission or irrelevant response. (0 pts) | Score of Data Analysis & Visualization,<br>/ 40 |
    | Recommendations & Strategic Decisions | 30 points<br>Clearly and explicitly addresses 3 elements: (1) Provides clear, practical, and actionable recommendations explicitly based on analysis, (2) Clearly aligns recommendations explicitly with statistical evidence, (3) Clearly discusses practical impact on strategic organizational decisions. (30 pts) | 24 points<br>Explicitly addresses 2 of 3 elements clearly. (24 pts) | 18 points<br>Clearly addresses 1 of 3 elements explicitly. (18 pts) | 12 points<br>Recommendations vague or minimally connected to data; minimal discussion of strategic impact. (12 pts) | 6 points<br>No submission or irrelevant response. (0 pts) | Score of Recommendations & Strategic Decisions,<br>/ 30 |
    | Professional Communication & Format | 15 points<br>Submission explicitly meets 3 elements: (1) Clear professional language and tone explicitly appropriate for audience, (2) Meets formatting requirements explicitly (3–5-page report or 5–7-minute narrated presentation), (3) Submission clearly organized into required sections explicitly: Introduction, Methods, Results & Interpretation, Recommendations, Conclusion. (15 pts) | 12 points<br>Submission explicitly meets 2 of 3 elements clearly. (12 pts) | 9 points<br>Submission clearly meets 1 of 3 elements explicitly. (9 pts) | 6 points<br>Unclear or minimally professional submission; multiple format or organization issues. (6 pts) | 3 points<br>No submission or irrelevant response. (0 pts) | Score of Professional Communication & Format,<br>/ 15 |
    | Skills | 15 points<br>The student skillfully and consistently integrates relevant skills into the assignment. Application is accurate, contextually appropriate, and enhances the depth or originality of the assignment. Demonstrates mastery through insightful use of skills.<br>(15 pts) | 12 points<br>The student applies relevant skills accurately and appropriately. The use of skills supports key ideas or analysis and demonstrates a strong understanding. Integration is effective but may lack the depth or originality of a mastery-level response.<br>(12 pts) | 9 points<br>The student applies relevant skills inconsistently or with partial success. Connections to the assignment may be unclear, generalized, or only loosely aligned with the topic. Demonstrates a basic understanding but with limited integration.<br>(9 pts) | 6 points<br>The student attempts to apply relevant skills but with evident inaccuracies, oversimplifications, or weak alignment with the assignment content. Demonstrates limited awareness or understanding.<br>(6 pts.) | | |

    **## InstructionsRubric.docx**

    Assignment Overview

    In this capstone project, you'll demonstrate your ability to leverage your full range of statistical and analytical skills to solve a real-world problem, either in a business or healthcare context. This assessment will showcase your capability to frame statistical problems, conduct rigorous data analysis using Excel, and communicate your findings clearly and persuasively to guide decision-making.

    Assignment Objectives

    · Evaluate a real-world problem to determine its suitability for statistical analysis (CLO1).

    · Design an appropriate hypothesis and testing plan (CLO4).

    · Utilize Excel to collect, analyze, and present descriptive, inferential, or predictive statistical data (CLO3).

    · Analyze results from statistical analyses comprehensively (CLO5).

    · Recommend actionable and justified resolutions based on statistical findings (CLO2 & CLO6).

    Task Description

    Choose one of the following two scenarios based on your professional interests:

    **Scenario 1: Business Management Context** Your company, a retail chain, is experiencing fluctuating customer satisfaction ratings across various regions. Upper management is concerned about inconsistent customer experience affecting long-term brand reputation and profitability. You are tasked with statistically analyzing customer satisfaction data, sales trends, and regional demographics to identify key problem areas and opportunities for strategic improvement.

    **Scenario 2: Healthcare Management Context** Your healthcare facility is experiencing increasing patient wait times and inconsistent patient satisfaction scores across different departments. Senior management is concerned about the implications for patient care quality and overall operational efficiency. You are tasked with analyzing patient flow data, staffing patterns, and patient feedback surveys to identify underlying causes and recommend evidence-based operational improvements.

    **Steps for Completion**

    **Step 1: Problem Framing (CLO1)**

    · Clearly describe and frame your chosen scenario as a statistical problem.

    · Explain why the issue is suitable for statistical analysis, outlining the types of data required and potential outcomes.

    **Step 2: Hypothesis and Testing Plan (CLO4)**

    · Formulate specific, testable hypotheses related to your scenario.

    · Identify appropriate statistical tests and methods suitable for evaluating these hypotheses.

    · Clearly justify why these tests and methods are appropriate based on your data and objectives.

    **Step 3: Data Analysis and Visualization (CLO3 & CLO5)**

    · Utilize Excel to perform comprehensive data analysis (descriptive statistics, inferential tests, regression analyses, etc.).

    · Prepare clear and accurate visuals (charts, graphs, dashboards) to effectively illustrate your analytical results.

    · Provide insightful interpretations of your findings.

    **Step 4: Recommendations and Strategic Decisions (CLO2 & CLO6)**

    · Based on your analysis, formulate clear, practical, and actionable recommendations.

    · Clearly align each recommendation with specific statistical evidence from your analysis.

    · Discuss how your recommendations will practically address the identified problems and support strategic organizational decisions.

    Submission Format (Choose One)

    ·
    **Formal Business-Style Report:**

    · 3–5 pages, professionally formatted with embedded visuals (charts, graphs, dashboards).

    · Clearly organized into sections: Introduction, Methods, Results & Interpretation, Recommendations, and Conclusion.

    OR

    ·
    **Recorded Presentation:**

    · 5–7 minutes with voice-over narration of visual slides.

    · Organized clearly into slides covering: Introduction, Methods, Results & Interpretation, Recommendations, and Conclusion.

    | | | | | | | |
    | — | — | — | — | — | — | — |
    | **Criteria** | **Exemplary** | **Proficient** | **Developing** | **Needs Improvement** | **Not Submitted** | **Criterion Score** |
    | Problem Framing | 50 points<br>Clearly identifies and explicitly describes 3 elements: (1) Scenario clearly framed as a statistical problem, (2) Clear explanation of suitability for statistical analysis, (3) Clearly identifies types of data required. (25 pts) | 30 points<br>Explicitly describes 2 of 3 elements clearly. (20 pts) | 15 points<br>Clearly describes 1 of 3 elements clearly. (15 pts) | 10 points<br>Vague or unclear description without explicit identification of required elements. (10 pts) | 5 points<br>No submission or off-topic response. (0 pts) | Score of Problem Framing,<br>/ 50 |
    | Hypothesis and Testing Plan | 50 points<br>Explicitly and clearly defines 3 elements: (1) Clear, testable null and alternative hypotheses, (2) Appropriate statistical tests clearly identified, (3) Explicit justification clearly aligning tests to data and objectives. (30 pts) | 30 points<br>Explicitly describes 2 of 3 elements clearly. (24 pts) | 18 points<br>Clearly describes 1 of 3 elements explicitly. (18 pts) | 12 points<br>Unclear or vague identification of hypothesis or test; weak or no justification. (12 pts) | 6 points<br>No submission or irrelevant response. (0 pts) | Score of Hypothesis and Testing Plan,<br>/ 50 |
    | Data Analysis & Visualization | 40 points<br>Clearly presents and explicitly completes 4 elements: (1) Accurate descriptive/inferential statistical analyses, (2) Comprehensive Excel analysis shown, (3) Effective, clear, and accurate visuals (charts/graphs), (4) Insightful interpretation of findings clearly provided. (35 pts) | 28 points<br>Clearly presents 3 of 4 elements explicitly. (28 pts) | 21 points<br>Clearly presents 2 of 4 elements explicitly. (21 pts) | 14 points<br>Vague, unclear, or limited data analysis/visualization with minimal interpretation. (14 pts) | 7 points<br>No submission or irrelevant response. (0 pts) | Score of Data Analysis & Visualization,<br>/ 40 |
    | Recommendations & Strategic Decisions | 30 points<br>Clearly and explicitly addresses 3 elements: (1) Provides clear, practical, and actionable recommendations explicitly based on analysis, (2) Clearly aligns recommendations explicitly with statistical evidence, (3) Clearly discusses practical impact on strategic organizational decisions. (30 pts) | 24 points<br>Explicitly addresses 2 of 3 elements clearly. (24 pts) | 18 points<br>Clearly addresses 1 of 3 elements explicitly. (18 pts) | 12 points<br>Recommendations vague or minimally connected to data; minimal discussion of strategic impact. (12 pts) | 6 points<br>No submission or irrelevant response. (0 pts) | Score of Recommendations & Strategic Decisions,<br>/ 30 |
    | Professional Communication & Format | 15 points<br>Submission explicitly meets 3 elements: (1) Clear professional language and tone explicitly appropriate for audience, (2) Meets formatting requirements explicitly (3–5-page report or 5–7-minute narrated presentation), (3) Submission clearly organized into required sections explicitly: Introduction, Methods, Results & Interpretation, Recommendations, Conclusion. (15 pts) | 12 points<br>Submission explicitly meets 2 of 3 elements clearly. (12 pts) | 9 points<br>Submission clearly meets 1 of 3 elements explicitly. (9 pts) | 6 points<br>Unclear or minimally professional submission; multiple format or organization issues. (6 pts) | 3 points<br>No submission or irrelevant response. (0 pts) | Score of Professional Communication & Format,<br>/ 15 |
    | Skills | 15 points<br>The student skillfully and consistently integrates relevant skills into the assignment. Application is accurate, contextually appropriate, and enhances the depth or originality of the assignment. Demonstrates mastery through insightful use of skills.<br>(15 pts) | 12 points<br>The student applies relevant skills accurately and appropriately. The use of skills supports key ideas or analysis and demonstrates a strong understanding. Integration is effective but may lack the depth or originality of a mastery-level response.<br>(12 pts) | 9 points<br>The student applies relevant skills inconsistently or with partial success. Connections to the assignment may be unclear, generalized, or only loosely aligned with the topic. Demonstrates a basic understanding but with limited integration.<br>(9 pts) | 6 points<br>The student attempts to apply relevant skills but with evident inaccuracies, oversimplifications, or weak alignment with the assignment content. Demonstrates limited awareness or understanding.<br>(6 pts.) | | |

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    Healthcare Administration CapstoneProject. Interview Summary and Analysis

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