ECO550 Week 2 Scenario Script: Models of Supply and Demand, and Non-Price Determinants of Each
Slide #
Topics
Narration
Slide 1
Scene 1
An older cottage style family run business (Katrina’s Candies)
Slide 2
Scene 2
Herb and Maria are in Herb’s office reviewing the demand model Herb and Renee formulated and discussing the data Maria compiled for estimating the model.
Show the 5 variables on projector:
Price of Katrina’s Sugar Free Chocolate;
Price of the substitute good;
Complementary good;
Income;
Number of buyers in the market.
ECO550_2_2_Herb-1:Good day, Maria. Thanks for responding so quickly to my request for data.
ECO550_2_2_Maria-1:Hello, Herb. No problem, I am assigned to the team to help with the data so when I received your email, I started looking for the data immediately.
ECO550_2_2_Herb-2:Fantastic. Let’s get started by reviewing the data you compiled. Then you can explain how I can use Excel to estimate the model.
ECO550_2_2_Maria-2:First, would you review the model with me? I need to understand how the model is setup.
ECO550_2_2_Herb-3:Oh, okay. Recall from our team meeting that the team’s task is to provide Ken with information he can use to respond to the Board of Directors’ request to expand Katrina’s into international markets.
ECO550_2_2_Maria-3:Yes, I do recall that.
ECO550_2_2_Herb-4: Renee and I met after the team meeting and decided the best way to proceed is to build a model of the demand for Katrina’s new sugar-free-chocolate candy then use the model to predict the demand. In the model, the quantity of Katrina’s sugar-free-chocolate candy is the dependent variable and there are five independent variables.
ECO550_2_2_Maria-4: Very interesting! Could you please go over these five independent variables with me?
ECO550_2_2_Herb-5: Sure! The first independent variable is theprice of Katrina’s sugar-free chocolate. The model must include the price of sugar-free-chocolate; otherwise, there is no demand curve.
Next is the price of the substitute good. In the case of chocolate, caffeinated coffee is the substitute good. Then there is the complementary good; for Katrina’s model, we selected bottled water; therefore the price of bottled water is the next independent variable. Income is another variable typically included in a demand curve. For our model, we selected median household income.
Last, since we are interested in the market for Katrina’s sugar-free-chocolate, the number of buyers in the market is included as an independent variable.
ECO550_2_2_Maria-5: Thanks for going over that. You and Renee were certainly busy!
ECO550_2_2_Herb-6: Yes, we were! I am going to use the data you provided to estimate the model to see if we selected the right set of determinants. Then, Renee and I can use the model to develop other measures that tell us more about the market for Katrina’s sugar-free-chocolate.
Slide 3
Scene 3
In Herb’s office to explain concept of estimation
Show ...
ECO550 Week 3 Scenario Script Using Techniques to Forecast Variab.docxSALU18
This document discusses using goal-setting activities to enhance adolescent brain development. It notes that goal setting is an important developmental exercise that improves human functioning across the lifespan. Social learning, social exchange, and self-regulation theories suggest goal setting can build self-efficacy, social networks, and brain development. Emerging neuroscientific evidence supports the idea that exercising executive functions and social cognitive skills like goal setting during adolescence may shape lifelong brain function. The document encourages social workers to think beyond just client-driven goal setting and consider structured goal-setting programs for adolescents.
ECO550 Week 3 Scenario Script Using Techniques to Forecast Variab.docxjack60216
ECO550 Week 3 Scenario Script: Using Techniques to Forecast Variables of Interest to Business and Foreign Exchange
Slide #
Scene
Narrations
Slide 1
Scene 1
An older cottage style family run business (Katrina’s Candies)
Slide 2
Scene 2
Herb and Renee are in Renee’s office discussing how to select and use forecasting techniques to forecast the behavior of variables Katrina uses to make decisions.
Display:
Regression output for the model.
ECO550_3_2_Herb-1: Good Morning, Renee!
ECO550_3_2_Renee-1: Good Morning, Herb! We should get started because I have another meeting following our meeting. What progress did you and Maria make at your session? I saw your email; however, I’ve been too busy to read it.
ECO550_3_2_Herb-2: No problem, Renee! I will give you an update now. Maria and I made a lot of progress considering we had to revise the model you and I developed.
ECO550_3_2_Renee-2: Revise the model, Why?
ECO550_3_2_Herb-3: Let me explain. The first revision occurred before we estimated the model. Maria was unable to find prices for bottled-water and unable to get data on the number of buyers of sugar-free-chocolate. Maria, however, located proxy data for both of these independent variables; as a result we estimated the demand model you and I formulated using some proxy data.
ECO550_3_2_Renee-3: That’s good news; otherwise, we would have had to reformulate the entire model.
ECO550_3_2_Herb-4: I was quite impressed that Maria made the extra effort to find proxy data to use in order to estimate the demand model. However, after estimating the model and evaluating the significance of regression coefficients, we had to drop caffeinated coffee and bottled-water from the model; as the results were insignificant for both variables. We also added a dummy variable to capture the supply of Katrina’s sugar-free-chocolate on the demand for Katrina’s regular chocolates.
ECO550_3_2_Renee-4: So, did the modifications that were made to the model make a difference in estimation results?
ECO550_3_2_Herb-5: Yes, as a matter of fact, the revised version of the demand model generated significant results for all of the independent variables including the price of Katrina’s sugar-free chocolate, median household income, the export of domestic confectionary merchandise and the dummy variable. Let me show you the regression output for the model.
Slide 3
Scene 3
Herb and Renee are in Renee’s office discussing the first forecasting procedure.
Show linear trend model on projector.
Show line graph example on projector.
ECO550_3_3_Renee-1: Herb, this is a great report--this means we can use the data and the estimated model to forecast the future demand.
ECO550_3_3_Herb-1: How are we going to forecast the demand, Renee?
ECO550_3_3_Renee-2: Since we used historical time-series data to estimate the demand model, we will use forecasting methods for time series data.
ECO550_3_3_Herb-2: That makes sense but where d ...
Customer Personality Analysis — Part 1.pdfssuser33ba021
Data Science has revolutionized the world a lot through technical transformation. Now, we have gotten accustomed to seeing many machine learning applications in our day-to-day lives. But I am more interested in how machine learning can classify humans based on their personality traits.
Customer Personality Analysis is a detailed analysis of a company’s all types of customers. It also helps a business to understand behavior of customers, increase usage, customer satisfaction and also modify products according to needs. Here I am targeting specific people who paved the way for increasing marketing campaigns. These Personality based analysis are highly effective in increasing the popularity and attractiveness of products and services.
This document provides a summary of a report about starting an online business selling physical products. It describes the author's journey from selling information products, which required extensive persuasion, to selling tangible goods online through "brown box" stores. Selling physical products allows customers to easily see the value, reduces the need for sales tactics, and leads to higher conversion rates and sales. The report argues that as online shopping continues to grow significantly, now is a great time to start an online store selling physical products.
ECO550 Week 1 Scenario Script Models of Supply and Demand, and No.docxjack60216
ECO550 Week 1 Scenario Script: Models of Supply and Demand, and Non-Price Determinants of Each
Slide #
Topics
Narration
Slide 1
Scene 1
An older cottage style family run business (Katrina's Candies)
Slide 2
Scene 2
Introduction Page
Takes place in Ken’s office
· Ken and Herb
President of Katrina's Candies- Ken Sanders
Grad Student/ Part-time Data Analyst- Herb Jones
ECO550_1_2_Ken-1: Hello, Herb! My name is Kenneth Sanders and welcome to Katrina's Candies. I can speak for my team and myself by saying how excited we are to work with you! But before we begin let me tell you about our company, Katrina's Candies. We are a small family owned candy-manufacturing company specializing in a variety of chocolate candies including a new sugar-free chocolate bar.
ECO550_1_2_Ken-2: We mostly produce candy for domestic and international markets and we currently employ approximately three hundred employees in a variety of capacities. Because of our size, we conduct a significant portion of our business via the internet. Currently, we have a management team consisting of a manager, senior data analyst and financial officer. You will get a chance to meet all of them soon. So, now tell me a little about yourself; I have been out of the country for business and didn’t get a chance to review your new hire file.
ECO550_1_2_Herb-1: Thank you, Mr. Sanders!I am Herb Jones and I was recently hired to serve as the new part-time data analyst. Currently, I am a full-time Strayer University student finishing the last four courses of an MBA management program through the Global campus. I enrolled full-time in Strayer’s online program about three years ago.
ECO550_1_2_Ken-3: Yes, I do recall our Management Department supervisor Gigi Thomas, making a strong case to convert the position to part-time and hold the full-time position for you. Gigi told me your educational preparation impressed her. Do you have work experience, too, Herb?
ECO550_1_2_Herb-2: Yes, I have about four years experience working as a consultant for several proprietary firms much smaller than Katrina. Mostly, I served as liaison between the firms and their clients…verifying task descriptions conducting quality control reviews, and recording problems with defective products for sequential follow-ups after tasks were completed. I was the eyes and ears of my clients outside of their offices. Interesting jobs-- but I wanted something different.
ECO550_1_2_Ken-4: You’re in the right place to get a new experience—we’re at the threshold of making a change in our general mission. As you were talking, I reviewed our electronic version of your transcript. I see why Gigi was impressed! Strayer exposed you to the type of skills we need to round out our management team.
Slide 3
Scene 3
Introduction, continued
Takes place in Ken’s Office
· Ken and Herb
[Herb and Ken proceed towards the conference room]
ECO550_1_3_Ken-1: So, let me tell you about where Katrina's Candies is headi ...
Analysis on the US Consumer ExpenditureSetu Chokshi
Given the US Consumer Expenses (Expenditure) dataset for
1996-‐2000 containing 12,000 rows and 220 columns. The objective of the analysis was to propose one way of using the data employing one of the following methods: regression, classification or clustering. This presentation shows my approach and methodology I have also shared the insights from the model and how it could be presented to a senior level manager with(out) the technical details.
This document is a review of a student's performance on Quiz 2 in their economics course. It provides the results of 18 multiple choice questions on the quiz, indicating whether the student answered each question correctly or incorrectly. For most questions, it also shows the student's answer, the correct answer, and a brief explanation. The review shows the student answered 15 questions correctly and 3 questions incorrectly, achieving a grade of 27/30 or 90%.
This document is a study guide created by David J. Bolling for the course Management 318: Production and Operations Management at Southern Illinois University Carbondale. The study guide is intended to supplement the required course materials and help students prepare for exams. It includes chapter summaries, key terms and concepts, example problems and solutions, and links to additional resources provided by the course professor. The author acknowledges the professor, Dr. White, for their instruction which informed the creation of this study guide. The study guide covers 18 chapters on topics in operations management, production strategies, forecasting, quality management, and other related subjects.
ECO550 Week 3 Scenario Script Using Techniques to Forecast Variab.docxSALU18
This document discusses using goal-setting activities to enhance adolescent brain development. It notes that goal setting is an important developmental exercise that improves human functioning across the lifespan. Social learning, social exchange, and self-regulation theories suggest goal setting can build self-efficacy, social networks, and brain development. Emerging neuroscientific evidence supports the idea that exercising executive functions and social cognitive skills like goal setting during adolescence may shape lifelong brain function. The document encourages social workers to think beyond just client-driven goal setting and consider structured goal-setting programs for adolescents.
ECO550 Week 3 Scenario Script Using Techniques to Forecast Variab.docxjack60216
ECO550 Week 3 Scenario Script: Using Techniques to Forecast Variables of Interest to Business and Foreign Exchange
Slide #
Scene
Narrations
Slide 1
Scene 1
An older cottage style family run business (Katrina’s Candies)
Slide 2
Scene 2
Herb and Renee are in Renee’s office discussing how to select and use forecasting techniques to forecast the behavior of variables Katrina uses to make decisions.
Display:
Regression output for the model.
ECO550_3_2_Herb-1: Good Morning, Renee!
ECO550_3_2_Renee-1: Good Morning, Herb! We should get started because I have another meeting following our meeting. What progress did you and Maria make at your session? I saw your email; however, I’ve been too busy to read it.
ECO550_3_2_Herb-2: No problem, Renee! I will give you an update now. Maria and I made a lot of progress considering we had to revise the model you and I developed.
ECO550_3_2_Renee-2: Revise the model, Why?
ECO550_3_2_Herb-3: Let me explain. The first revision occurred before we estimated the model. Maria was unable to find prices for bottled-water and unable to get data on the number of buyers of sugar-free-chocolate. Maria, however, located proxy data for both of these independent variables; as a result we estimated the demand model you and I formulated using some proxy data.
ECO550_3_2_Renee-3: That’s good news; otherwise, we would have had to reformulate the entire model.
ECO550_3_2_Herb-4: I was quite impressed that Maria made the extra effort to find proxy data to use in order to estimate the demand model. However, after estimating the model and evaluating the significance of regression coefficients, we had to drop caffeinated coffee and bottled-water from the model; as the results were insignificant for both variables. We also added a dummy variable to capture the supply of Katrina’s sugar-free-chocolate on the demand for Katrina’s regular chocolates.
ECO550_3_2_Renee-4: So, did the modifications that were made to the model make a difference in estimation results?
ECO550_3_2_Herb-5: Yes, as a matter of fact, the revised version of the demand model generated significant results for all of the independent variables including the price of Katrina’s sugar-free chocolate, median household income, the export of domestic confectionary merchandise and the dummy variable. Let me show you the regression output for the model.
Slide 3
Scene 3
Herb and Renee are in Renee’s office discussing the first forecasting procedure.
Show linear trend model on projector.
Show line graph example on projector.
ECO550_3_3_Renee-1: Herb, this is a great report--this means we can use the data and the estimated model to forecast the future demand.
ECO550_3_3_Herb-1: How are we going to forecast the demand, Renee?
ECO550_3_3_Renee-2: Since we used historical time-series data to estimate the demand model, we will use forecasting methods for time series data.
ECO550_3_3_Herb-2: That makes sense but where d ...
Customer Personality Analysis — Part 1.pdfssuser33ba021
Data Science has revolutionized the world a lot through technical transformation. Now, we have gotten accustomed to seeing many machine learning applications in our day-to-day lives. But I am more interested in how machine learning can classify humans based on their personality traits.
Customer Personality Analysis is a detailed analysis of a company’s all types of customers. It also helps a business to understand behavior of customers, increase usage, customer satisfaction and also modify products according to needs. Here I am targeting specific people who paved the way for increasing marketing campaigns. These Personality based analysis are highly effective in increasing the popularity and attractiveness of products and services.
This document provides a summary of a report about starting an online business selling physical products. It describes the author's journey from selling information products, which required extensive persuasion, to selling tangible goods online through "brown box" stores. Selling physical products allows customers to easily see the value, reduces the need for sales tactics, and leads to higher conversion rates and sales. The report argues that as online shopping continues to grow significantly, now is a great time to start an online store selling physical products.
ECO550 Week 1 Scenario Script Models of Supply and Demand, and No.docxjack60216
ECO550 Week 1 Scenario Script: Models of Supply and Demand, and Non-Price Determinants of Each
Slide #
Topics
Narration
Slide 1
Scene 1
An older cottage style family run business (Katrina's Candies)
Slide 2
Scene 2
Introduction Page
Takes place in Ken’s office
· Ken and Herb
President of Katrina's Candies- Ken Sanders
Grad Student/ Part-time Data Analyst- Herb Jones
ECO550_1_2_Ken-1: Hello, Herb! My name is Kenneth Sanders and welcome to Katrina's Candies. I can speak for my team and myself by saying how excited we are to work with you! But before we begin let me tell you about our company, Katrina's Candies. We are a small family owned candy-manufacturing company specializing in a variety of chocolate candies including a new sugar-free chocolate bar.
ECO550_1_2_Ken-2: We mostly produce candy for domestic and international markets and we currently employ approximately three hundred employees in a variety of capacities. Because of our size, we conduct a significant portion of our business via the internet. Currently, we have a management team consisting of a manager, senior data analyst and financial officer. You will get a chance to meet all of them soon. So, now tell me a little about yourself; I have been out of the country for business and didn’t get a chance to review your new hire file.
ECO550_1_2_Herb-1: Thank you, Mr. Sanders!I am Herb Jones and I was recently hired to serve as the new part-time data analyst. Currently, I am a full-time Strayer University student finishing the last four courses of an MBA management program through the Global campus. I enrolled full-time in Strayer’s online program about three years ago.
ECO550_1_2_Ken-3: Yes, I do recall our Management Department supervisor Gigi Thomas, making a strong case to convert the position to part-time and hold the full-time position for you. Gigi told me your educational preparation impressed her. Do you have work experience, too, Herb?
ECO550_1_2_Herb-2: Yes, I have about four years experience working as a consultant for several proprietary firms much smaller than Katrina. Mostly, I served as liaison between the firms and their clients…verifying task descriptions conducting quality control reviews, and recording problems with defective products for sequential follow-ups after tasks were completed. I was the eyes and ears of my clients outside of their offices. Interesting jobs-- but I wanted something different.
ECO550_1_2_Ken-4: You’re in the right place to get a new experience—we’re at the threshold of making a change in our general mission. As you were talking, I reviewed our electronic version of your transcript. I see why Gigi was impressed! Strayer exposed you to the type of skills we need to round out our management team.
Slide 3
Scene 3
Introduction, continued
Takes place in Ken’s Office
· Ken and Herb
[Herb and Ken proceed towards the conference room]
ECO550_1_3_Ken-1: So, let me tell you about where Katrina's Candies is headi ...
Analysis on the US Consumer ExpenditureSetu Chokshi
Given the US Consumer Expenses (Expenditure) dataset for
1996-‐2000 containing 12,000 rows and 220 columns. The objective of the analysis was to propose one way of using the data employing one of the following methods: regression, classification or clustering. This presentation shows my approach and methodology I have also shared the insights from the model and how it could be presented to a senior level manager with(out) the technical details.
This document is a review of a student's performance on Quiz 2 in their economics course. It provides the results of 18 multiple choice questions on the quiz, indicating whether the student answered each question correctly or incorrectly. For most questions, it also shows the student's answer, the correct answer, and a brief explanation. The review shows the student answered 15 questions correctly and 3 questions incorrectly, achieving a grade of 27/30 or 90%.
This document is a study guide created by David J. Bolling for the course Management 318: Production and Operations Management at Southern Illinois University Carbondale. The study guide is intended to supplement the required course materials and help students prepare for exams. It includes chapter summaries, key terms and concepts, example problems and solutions, and links to additional resources provided by the course professor. The author acknowledges the professor, Dr. White, for their instruction which informed the creation of this study guide. The study guide covers 18 chapters on topics in operations management, production strategies, forecasting, quality management, and other related subjects.
The document analyzes market research data on online gifting services in India. It identifies key customer segments for online gifting through cluster analysis. Younger, employed individuals who spend Rs. 5,000-10,000 annually on gifts are the prime target segment. Products like clothes and electronics are more suitable for online gifting. Factor analysis finds customers value convenience, options and experience. Timely delivery is important to shift offline customers online. The report recommends Professional Couriers focus on customer experience and timely delivery to enter the online gifting market successfully.
The Marketer's Blind Spot, presented by Flint McGlaughlin at the Jacksonville Business Journal's Advertising and Marketing Summit 2017.
View the full session as presented at MarketingSherpa Summit 2016: https://www.marketingsherpa.com/video/flint-mcglaughlin-marketers-blind-spot?_ga=1.82094229.220271385.1471291473
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- Statistical tests found no significant differences in brand loyalty based on gender or income.
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- A weak positive correlation was found between brand loyalty and lifestyle image matching.
The report concludes there may be an opportunity for Coca-Cola to
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iii. The model aimed to optimize resource allocation and significantly increase amounts collected while reducing costs through targeted strategies.
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RQ Retail Management: Taking Numbers from Good to GreatiQmetrixCorp
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ModIIBudgetProject_Mhegan_Alexander-Lee_LCWMhegan Lee
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The document summarizes a research study conducted by a group of students on Starbucks customers' attitudes and behaviors toward coffee prices. The study aimed to determine if price influences customer attitudes and purchase intentions, and if gender impacts how much customers spend. The summary is as follows:
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The document provides details of a presentation made by Herb to the team at Katrina's Candies regarding expanding the company's global presence. Herb analyzed various options and presented the findings of his research, which included developing a demand model and analyzing costs. He recommended two options for expansion: a merger with a Mexican company or pursuing capital investment to build an export annex. The team was impressed with Herb's thorough report and comprehensive analysis to help the company decide on its path forward. Ken offered Herb a full-time job upon graduating from his MBA program.
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http://klinger.io/
http://icatapult.co/
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ECO550 Week 10 Scenario Script: Long-term Investment Analysis
Slide #
Topic
Narration
Slide 1
Scene 1
An older cottage style family run business (Katrina’s Candies)
Slide 2
Scene 2
Ken, Gigi, Renee, Maria and Herb meet in the conference room. Ken reminds the team that the meeting is to hear results of Herb’s research
Ken: Good afternoon everyone.
Gigi: Good afternoon Ken!
Renee: Hello everyone.
Maria: Hi Ken.
Herb: Good afternoon everyone.
Ken: Today we are meeting so Herb can present his recommendation regarding the Board’s directive to expand the global presence of Katrina’s Candies. Herb’s recommendation culminates nine weeks of exhausting work by each of you. I know each of you worked hard on this special project because at the same time you were also maintaining your daily responsibilities. I want to give a special thanks to each of you!
Gigi: Thanks!
Renee: Thank you, Ken!
Herb: It was our pleasure!
Maria: Thanks, Ken!
Ken: You are all very welcome! Now as you know, Herb has been working with us part-time for the past nine weeks because he’s finishing his last four MBA courses at Strayer University’s Global Campus. During the nine-weeks, each of you supported Herb on this special project! Each of you also communicated in one way or another how very satisfied and happy you are to have Herb here. So, before Herb share’s his findings, let’s give him a hand!
(Add clapping from Ken)
The floor is now yours, Herb!
Slide 3
Scene 3
Everyone is still in the conference room and Herb is beginning his presentation.
Show projector screen showing “Determine the feasibility of expanding Katrina’s Candies global markets.”
Show projector screen showing “Planning Period information.”
Show projector screen showing “Demand Function #1.”
Herb: Thank you, Ken, for the flattering introduction. I also want to thank the team for supporting me on this special project, Gigi, Renee, and Maria; I would not have made any progress on the project without your assistance.
Gigi: It was our pleasure working with you, Herb!
Herb: Let’s begin and start with how we have arrived at this point. I was first assigned the task of preparing an analysis of the Board’s proposal to expand the global component of Katrina’s Candies.
Herb: First, My team and I met to create a plan of action. During this meeting we discussed and formulated a plan of action and assigned tasks. We also scheduled times for me to meet with each team member to implement specific tasks like creating a model as well as reviewing and discussing data.
Herb: One of our first tasks was toformulate a useful model of demand for Katrina’s Candies Sugar-free chocolates and use the model to derive elasticity coefficients. Renee and I worked on this task. We started with a standard model of demand. The independent variables for this function were as follows:
The per unit price of Katrina’s Sugar Free Chocolate;
The price of a substitute good which was caffeinated c ...
Bee 'cause We Care Candles and Confections is an online retailer that sells organic candles and confections made from local ingredients. The company aims to provide high quality organic products and excellent customer service. It will source ingredients from local organic farms to support the local economy. The business plans to advertise through social media, partner businesses, and farmers markets to build its customer base. It will operate out of a rented commercial kitchen, managing inventory and production in-house while leveraging local resources for ingredients. Key strengths include the growing market for organic and local products, access to local suppliers, and low overhead costs. Challenges include competition and effectively advertising the new business.
This document provides the questions and answers to a QNT 351 final exam. It includes 20 multiple choice questions covering topics like hypothesis testing, confidence intervals, measures of central tendency, and other statistical concepts. It also provides information about purchasing the answers to the exam questions from a website called www.finishedexams.com.
Anorexia1-Definition2-Epidemiology in united states2.docxjack60216
Anorexia
1-Definition
2-Epidemiology in united states
2-Symptoms and signs
3-Diagnosis Criteria
4-Differential diagnosis
5-Treatment
6-Criteria for hospitalization
7-Other diseases related with inadequate calories intake
8-Underweight and growth failure definition
At least 15 slides. APA format.turtinitin report
.
Annotated BibliographyIn preparation of next weeks final as.docxjack60216
Annotated Bibliography
In preparation of next week's final assignment, prepare an annotated bibliography of all resources (required and those you selected) used to date (minimum of 26) at this time.
esources
Required References
Click url to play videos
Beautiful Mind. (2005, October 11). Wal-Mart: The high cost of low price [Video file]. New York, NY: Retail Project L.L.C. Retrieved from
Walmart The High Cost Of Low Price (Links to an external site.)
Fadi-BNZE-HD. (2014, March 14). Full documentary no logo brands, globalization and resistance [Video file]. Retrieved from
No Logo Brands, Globalization and Resistance (Links to an external site.)
*Study guide, http://www.mediaed.org/assets/products/115/studyguide_115.pdf
Ford School. (2011, March 11). @fordschool - Paul Krugman: Reflections on Globalization: Yesteryear and today[Video file]. Retrieved from
[email protected]
- Paul Krugman: Reflections on Globalization: Yesteryear and Today (Links to an external site.)
PBS Newshour. (2014, August 20).
‘Factory Man’ explores human side of how globalization affects U.S. industry
[Video file]. Retrieved from
http://www.pbs.org/newshour/bb/factory-man-explores-human-side-globalization-affects-u-s-industry/ (Links to an external site.)
Walmart. (n.d.). Community giving. http://foundation.walmart.com/
Recommended References
International Monetary Fund. (n.d.).
Key issues: Globalization
. Retrieved from http://www.imf.org/external/np/exr/key/global.htm
World Affairs Council: Nor Cal. (2006, October 6).
Making globalization work Joseph Stiglitz
[Video file]. Retrieved from
http://library.fora.tv/2006/10/10/Making_Globalization_Work (Links to an external site.)
Online Writing Lab (n.d.).
Annotated bibliography samples
. Retrieved from https://owl.english.purdue.edu/owl/resource/614/03/
esources
Required References
Click url to play videos
Beautiful Mind. (2005, October 11). Wal-Mart: The high cost of low price [Video file]. New York, NY: Retail Project L.L.C. Retrieved from
Walmart The High Cost Of Low Price (Links to an external site.)
Fadi-BNZE-HD. (2014, March 14). Full documentary no logo brands, globalization and resistance [Video file]. Retrieved from
No Logo Brands, Globalization and Resistance (Links to an external site.)
*Study guide, http://www.mediaed.org/assets/products/115/studyguide_115.pdf
Ford School. (2011, March 11). @fordschool - Paul Krugman: Reflections on Globalization: Yesteryear and today[Video file]. Retrieved from
[email protected]
- Paul Krugman: Reflections on Globalization: Yesteryear and Today (Links to an external site.)
PBS Newshour. (2014, August 20).
‘Factory Man’ explores human side of how globalization affects U.S. industry
[Video file]. Retrieved from
http://www.pbs.org/newshour/bb/factory-man-explores-human-side-globalization-affects-u-s-industry/ (Links to an external site.)
Walmart. (n.d.). Community giving. http://foundation.walmart.com/
Recommended References
Internation.
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Topic
Narration
Slide 1
Scene 1
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Slide 2
Scene 2
Ken, Gigi, Renee, Maria and Herb meet in the conference room. Ken reminds the team that the meeting is to hear results of Herb’s research
Ken: Good afternoon everyone.
Gigi: Good afternoon Ken!
Renee: Hello everyone.
Maria: Hi Ken.
Herb: Good afternoon everyone.
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Gigi: Thanks!
Renee: Thank you, Ken!
Herb: It was our pleasure!
Maria: Thanks, Ken!
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(Add clapping from Ken)
The floor is now yours, Herb!
Slide 3
Scene 3
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Show projector screen showing “Determine the feasibility of expanding Katrina’s Candies global markets.”
Show projector screen showing “Planning Period information.”
Show projector screen showing “Demand Function #1.”
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At least 15 slides. APA format.turtinitin report
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Annotated BibliographyIn preparation of next weeks final as.docxjack60216
Annotated Bibliography
In preparation of next week's final assignment, prepare an annotated bibliography of all resources (required and those you selected) used to date (minimum of 26) at this time.
esources
Required References
Click url to play videos
Beautiful Mind. (2005, October 11). Wal-Mart: The high cost of low price [Video file]. New York, NY: Retail Project L.L.C. Retrieved from
Walmart The High Cost Of Low Price (Links to an external site.)
Fadi-BNZE-HD. (2014, March 14). Full documentary no logo brands, globalization and resistance [Video file]. Retrieved from
No Logo Brands, Globalization and Resistance (Links to an external site.)
*Study guide, http://www.mediaed.org/assets/products/115/studyguide_115.pdf
Ford School. (2011, March 11). @fordschool - Paul Krugman: Reflections on Globalization: Yesteryear and today[Video file]. Retrieved from
[email protected]
- Paul Krugman: Reflections on Globalization: Yesteryear and Today (Links to an external site.)
PBS Newshour. (2014, August 20).
‘Factory Man’ explores human side of how globalization affects U.S. industry
[Video file]. Retrieved from
http://www.pbs.org/newshour/bb/factory-man-explores-human-side-globalization-affects-u-s-industry/ (Links to an external site.)
Walmart. (n.d.). Community giving. http://foundation.walmart.com/
Recommended References
International Monetary Fund. (n.d.).
Key issues: Globalization
. Retrieved from http://www.imf.org/external/np/exr/key/global.htm
World Affairs Council: Nor Cal. (2006, October 6).
Making globalization work Joseph Stiglitz
[Video file]. Retrieved from
http://library.fora.tv/2006/10/10/Making_Globalization_Work (Links to an external site.)
Online Writing Lab (n.d.).
Annotated bibliography samples
. Retrieved from https://owl.english.purdue.edu/owl/resource/614/03/
esources
Required References
Click url to play videos
Beautiful Mind. (2005, October 11). Wal-Mart: The high cost of low price [Video file]. New York, NY: Retail Project L.L.C. Retrieved from
Walmart The High Cost Of Low Price (Links to an external site.)
Fadi-BNZE-HD. (2014, March 14). Full documentary no logo brands, globalization and resistance [Video file]. Retrieved from
No Logo Brands, Globalization and Resistance (Links to an external site.)
*Study guide, http://www.mediaed.org/assets/products/115/studyguide_115.pdf
Ford School. (2011, March 11). @fordschool - Paul Krugman: Reflections on Globalization: Yesteryear and today[Video file]. Retrieved from
[email protected]
- Paul Krugman: Reflections on Globalization: Yesteryear and Today (Links to an external site.)
PBS Newshour. (2014, August 20).
‘Factory Man’ explores human side of how globalization affects U.S. industry
[Video file]. Retrieved from
http://www.pbs.org/newshour/bb/factory-man-explores-human-side-globalization-affects-u-s-industry/ (Links to an external site.)
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Annual Report to the Nation on the Status of Cancer,Part I .docxjack60216
Annual Report to the Nation on the Status of Cancer,
Part I: National Cancer Statistics
Kathleen A. Cronin, PhD, MPH1; Andrew J. Lake, BS2; Susan Scott, MPH 1; Recinda L. Sherman, MPH, PhD, CTR3;
Anne-Michelle Noone, MS1; Nadia Howlader, MS, PhD1; S. Jane Henley, MSPH4; Robert N. Anderson, PhD5;
Albert U. Firth, BS2; Jiemin Ma, PhD, MHS6; Betsy A. Kohler, MPH, CTR3; and Ahmedin Jemal, DVM, PhD 6
BACKGROUND: The American Cancer Society (ACS), the Centers for Disease Control and Prevention (CDC), the National Cancer
Institute (NCI), and the North American Association of Central Cancer Registries (NAACCR) collaborate to provide annual updates
on cancer occurrence and trends in the United States. METHODS: Incidence data were obtained from the CDC-funded and NCI-
funded population-based cancer registry programs and compiled by NAACCR. Data on cancer deaths were obtained from the
National Center for Health Statistics National Vital Statistics System. Trends in age-standardized incidence and death rates for all can-
cers combined and for the leading cancer types by sex, race, and ethnicity were estimated by joinpoint analysis and expressed as the
annual percent change. Stage distribution and 5-year survival by stage at diagnosis were calculated for breast cancer, colon and rec-
tum (colorectal) cancer, lung and bronchus cancer, and melanoma of the skin. RESULTS: Overall cancer incidence rates from 2008 to
2014 decreased by 2.2% per year among men but were stable among women. Overall cancer death rates from 1999 to 2015
decreased by 1.8% per year among men and by 1.4% per year among women. Among men, incidence rates during the most recent 5-
year period (2010-2014) decreased for 7 of the 17 most common cancer types, and death rates (2011-2015) decreased for 11 of the 18
most common types. Among women, incidence rates declined for 7 of the 18 most common cancers, and death rates declined for 14
of the 20 most common cancers. Death rates decreased for cancer sites, including lung and bronchus (men and women), colorectal
(men and women), female breast, and prostate. Death rates increased for cancers of the liver (men and women); pancreas (men and
women); brain and other nervous system (men and women); oral cavity and pharynx (men only); soft tissue, including heart (men
only); nonmelanoma skin (men only); and uterus. Incidence and death rates were higher among men than among women for all racial
and ethnic groups. For all cancer sites combined, black men and white women had the highest incidence rates compared with other
racial groups, and black men and black women had the highest death rates compared with other racial groups. Non-Hispanic men
and women had higher incidence and mortality rates than those of Hispanic ethnicity. Five-year survival for cases diagnosed from
2007 through 2013 ranged from 100% (stage I) to 26.5% (stage IV) for female breast cancer, from 88.1% (stage I) to 12.6% (stage IV)
for colorectal cancer, from 55.
Annotated BibliographyDue 1212019 @ 12pm Eastern Time (Unite.docxjack60216
Annotated Bibliography
Due 12/1/2019 @ 12pm Eastern Time (United States)
3-5 pages
Must be in APA format
Must use a minimum of 8
scholarly article
Must be submitted through turnitin and submit the report
Instructions are attached
.
Annotated BibliographyFor this assignment, you will create an .docxjack60216
Annotated Bibliography
For this assignment, you will create an annotated bibliography on social determinants.
- Select five articles you wish to annotate. Make certain to select different types of disparities, such as race, gender, SES, age, language, liability status, etc.
For more information about the elements of an
Annotated Bibliography
.
Attached, you will find a document that can provide more in-depth information on how to construct an annotated bibliography, including samples.
FREE OF PLAGIARISM (TURNITIN ASSIGNMENT)
.
Annotated bibliography due in 36 hours. MLA format Must incl.docxjack60216
Annotated bibliography due in 36 hours.
MLA format
Must include 8 sources
Annotations should be between 4 to 7 sentences.
PLEASE PLEASE PLEASE review ALL attachments because they are very important and are beneficial for the next part (research paper).
The book is Things Fall Apart by Chinua Achebe.
I also included an attachment for the research paper so you can know what to focus on for the annotated bib.
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Analyzing a Short Story- The Necklace by Guy de Maupassant
Intro
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Plot
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Understandable or too complex?
Tension/conflict?
Too fast/slow? Appropriate?
Characters
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Descriptions of major characters; must have at least one physical description and one personality description for each major character
Stereotypes and break in stereotypes of major characters
Setting
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Time period (year/time of year/day/time of day)Specific (house/village, etc)
Cultural (any prevailing social/ political /religious conditions that affect/ influence the story )
Narrator
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Images/Symbols- Images or symbols used (must have at least one human and one non-human) Must explain what each one symbolizes.
Theme/Message-
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Conclusion (1 Para, exactly 10 lines)
Length: 4 pages
(not counting Works Cited)
Length starts with first word of intro para (NOT top of first page)
Make sure on each full page you have 23 lines total; otherwise, you will have to make up those lines on the last page to meet the minimum length requirement.
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sample of essay example provided below.
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Andy Sylvan was the assistant director of the community developm.docxjack60216
Andy Sylvan was the assistant director of community development in Greenwood. He helped the Governor uncover financial mismanagement of a state grant by Sylvan's boss, Rose Almindinger. However, after helping the Governor, Sylvan's career suffered - he was passed over for a promotion, received a poor performance review, and faced ostracization at work. He eventually left his job and took a teaching position with less pay due to how he was treated after blowing the whistle on corruption.
Annotated Bibliography Althaus, F. U.S. Maternal Morta.docxjack60216
Annotated Bibliography
Althaus, F. “U.S. Maternal Mortality Has Continued Its Decline, but Risk Remains Higher
among Minority Women.” Family Planning Perspective, vol. 23, no. 3, May 1991, pp.
140–141. EBSCOhost, doi: 10.2307/2135829.
According to the article by F. Althaus, the development in the American health system
has continuously transformed the health sector and the delivery environment among expectant
mothers. When compared to the previous era, expectant White-American mothers are delivering
safely, specifically those who live in states where the quality of health infrastructure and services
are high. Unfortunately, though, the population of people of color’s maternal mortality rate is
increasingly reporting the highest in minority communities due to the low quality of health
infrastructure and services in their living environments. Althaus presents that both maternal and
child mortality rates among Black mothers are three times that of Whites. This author stretches
the discussion to address the long history of birth oppression among Black mothers and the
strategies that have been applied to suppress these oppressions. The author outlines that the
Black, marginalized, population contributes significantly to the American ecosystem. Therefore,
providing quality service, especially for the expectant mothers of color, should be something the
federal government sees as a must do instead of coming up with illegal family planning
approaches with a hidden agendas. It is imperative that equity prevails for all races during
maternity and childbirth.
El Sayed, Abdulrahman M., et al.: Social Environment, Genetics, and Black-White
Disparities in Infant Mortality."Paediatric & Perinatal Epidemiology, Vol.29. no.6.
November.2015.pp.546-551.EBSCOhost.doi:10.1111/ppe.12227
The above article presents information on genetics and one’s surroundings as the factors
that interplay and produce the wellness of the population within a given place. The article
discusses parental race differences and vulnerabilities of infant mortality rates through studying
how genes and a person’s environment could shape these perinatal vulnerabilities. El Sayed
found that the dynamic of child deaths continue to increase among the black community with
said improvement in the health sector impacting only the white population. Instead of genetics
being the main impact on child deaths, it is shown that race-driven prejudice and structural
socio-economic opportunities of social surroundings is a great explanation of why there are
racial differences in infant mortality rates. Despite these factors being proven to be contributing
to the number of deaths among infants, the government does little to address the associated risk
factors. The author recommends that the federal government could mitigate the social factors and
introduce more diverse healthcare providers to promote wellness among Black-American
expectant mothers.
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Ann, a community nurse, made an afternoon home visit with Susan and her father. After the death of her mother, Susan had growing concerns about her father living alone. "I worry about my father all the time. He is becoming more forgetful and he has trouble seeing. Mom used to take care of him. I am not sleeping and I am irritable around him. Yesterday I shouted at him because he wouldn't let me help him with his laundry. I felt terrible! I am at my wits' end! My brothers and sisters do not want to put dad in a nursing home but they are not willing to help out. As usual, they have left me with all the responsibility. I work part time and have two small children to care for.” Susan's father, Sam, sat quietly with tears filling his eyes. He was well nourished and well-groomed but would not make eye contact. Nurse Ann noticed that the house was clean and orderly. A tray in front of the TV had the remains of a ham sandwich and glass of ice tea. Mail was piled up, unopened on a small table near the front door. There was only one car in the driveway and the yard was in need of attention.
.
Andrea Walters Week 2 Main Post The key functional area of n.docxjack60216
Andrea Walters' Week 2 Main Post: The key functional area of nursing informatics relevant to me is education and consultant. Education is relevant as newly hired nurses need education to be competent with the electronic health records (EHR) used in the specialty. I precept nurses new to oncology and educate them on how informatics is used in oncology, how data is placed into the EHRs and how then used by informaticists. Consultant is relevant when there has been an issue, I have been used as a consultant and a liaison between nursing science and computer science. I have given my knowledge to the EHR developers on how they may better serve other oncology practices. Although I have been used as a consultant, oncology is constantly changing. Technology informatics guiding education reform (TIGER) has core competencies for specific areas. One core competency area under direct patient care is enhance information and knowledge management (Hubner et al., 2018). This competency will aid me to become more proficient in oncology and using a database by engaging in researching upcoming and new evidence-based practice. This competency is necessary to help identify problems and become part of the solution instead of waiting on the organization to develop solutions. The plan for developing this competency is to subscribe to an oncology journal, such as The Oncology Nurse to further my education outside of work, and research evidence-based practice through the organization’s research database, CINHAL. I will set aside 30 minutes twice weekly to research and read to develop this competency. Developing this competency will help refine and improve my skills and move from being a good to an expert nurse consultant and educator. Continuing education concentrating on informatics is necessary for all nurses in order to productively participate with content and dialogue that correlates to the informatics realm as nursing informatics is a rapidly changing field (Yen, Kennedy, Phillips & Collin, 2017). References Hubner, U., Shaw, T., Thye, J., Egbert, N., Marin, H., Chang, P., ... Ball, M. (2018). Technology informatics guiding education -TIGER. Methods of Information in Medicine, 57(S 01), e30-342. doi: 10.3414/ME17-01-0155 Yen, P., Kennedy, M., Phillips, A., & Collins, S. (2017). Nursing informatics competency assessment for the nurse leader. The Journal of Nursing Administration, 47(5), 271-277. doi: 10.1097/NNA.0000000000000478
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and emergency CPR all changed ways of thinking about risk of death.docxjack60216
and emergency CPR all changed ways of thinking about risk of death, so too did the idea of organs moving among family members, friends, or even strangers open up social and familial obligations to being expressed via emerging medical-technical means.” (p. 166)
Using this quote as a point of entry, write about 2-3 pages (double-spaced) about how the practice of medicine in the US has “opened up” new ways of living in a world imbued with social, cultural and political meanings and values. You can use any examples and materials you want (either covered in class or not). Make sure you quote your sources.
Choose a picture that best illustrates for you the social and/or cultural and/or political significance of the Covid-19 public health crisis. It can be a picture taken by you or found somewhere else (mention the sources either way). Write a mini-essay of about 200 words, explaining why that particular image captures, in your opinion, something important about the pandemic. Give a title to your mini-essay. Be as creative as you would like. Upload the picture and the text in one document.
BOTH prompts are mandatory. Upload them on BlueLine by November 24 at 5 pm.
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analyze, and discuss emerging ICT tools and technologies present.docxjack60216
analyze, and discuss emerging ICT tools and technologies presenting the potential to enhance policy making. Visualization tool are discussed in
Visualization tools help users better understand data and provide a more meaningful view in context, especially by presenting data in a graphical form.
Produce a definition of data visualization. Explain how it caters to the perceptual abilities of humans.
Describe three challenges data visualization researchers face when trying to use visualization tools to reinforce the policy-making process. Suggest solutions to conquer these three challenges.
Initial Post:
Create a new thread. As indicated above, (1) Produce a definition of data visualization. Explain how it caters to the perceptual abilities of humans. (2) Describe three challenges data visualization researchers face when trying to use visualization tools to reinforce the policy-making process. Suggest solutions to conquer these three challenges.
In order to receive full credit for the initial discussion post, you must include at least two citations (APA) from academic resources
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Analyzing a Research ArticleNote Please complete this dis.docxjack60216
Analyzing a Research Article
Note
: Please complete this discussion before completing the assignment in this unit.
For this discussion, select one of the peer-reviewed
In your initial post:
Cite the article and provide your own analysis of it. Use the general outline for analyzing a research article from the Analyze Results page (link given in the resources).
State why this specific article is important to your course project.
Post according to the Faculty Expectations Response Guidelines. Be sure to include at least one APA-formatted citation (in-text plus full reference). The citation should be from materials you have read during this unit. It may be from course textbooks, assigned readings, or an outside source.
Overprescribing antiobics
References
Brink, A. J., Messina, A. P., Feldman, C., Richards, G. A., Becker, P. J., Goff, D. A., ... & Alliance, N. A. S. S. (2016). Antimicrobial stewardship across 47 South African hospitals: an implementation study.
The Lancet Infectious Diseases
,
16
(9), 1017-1025.
Dobson, E. L., Klepser, M. E., Pogue, J. M., Labreche, M. J., Adams, A. J., Gauthier, T. P., ... & Task, S. C. P. A. S. (2017). Outpatient antibiotic stewardship: Interventions and opportunities.
Journal of the American Pharmacists Association
,
57
(4), 464-473.
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Analyze the Civil Rights Movement of the 1950s and 1960s. What p.docxjack60216
Analyze the Civil Rights Movement of the 1950s and 1960s. What progress did the movement make in the U.S. Supreme Court? How did southern segregationists react to the Court’s decisions? Who was Emmett Till, and what happened to him? Explain the Montgomery Bus Boycott and its impact. What style of protest did Martin Luther King, Jr. (MLK) and civil rights activists practice? How did college students become engaged in the movement? Who were the Freedom Riders? How did Civil Rights activists advocate for voting rights and address social and economic inequities in the United States? What is the legacy of the Civil Rights Movement?
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Analytical Research Project InstructionsINFA 630 – Intrusion.docxjack60216
Analytical Research Project Instructions
INFA 630 – Intrusion Detection and Intrusion Prevention
Summary
This is a paper describing the results of an analytical research project, worth 25% of your total grade. Your paper should be 10-12 pages, double-spaced, exclusive of cover, title page, table of contents, endnotes and bibliography. Your paper must use APA formatting with the exception that tables and figures can be inserted at the appropriate location rather than added at the end. Following UMUC policy, all students must upload their papers to Turnitin.com (following instructions provided by your instructor), produce and review an originality report, and submit the final version of the paper to your Assignment Folder prior to the submission deadline.
Paper Topic Selection
Prior to writing your paper, you must submit a short, ungraded, topic proposal. You should submit your intended research paper topic by the end of Session 3. The purpose of this preliminary milestone is to provide your instructor the opportunity to confirm the appropriateness of your proposed topic, sufficiently early in the course to allow for topic revision if necessary. It will be helpful if you include, with your proposed paper topic, the sort of research you intend to do and any specific sources you may have already found or plan to use in researching your topic. Your instructor will provide feedback on the suitability of the proposed topic by the start of Session 5. Students who do not provide a proposed topic will be preparing their research papers "at risk;"
i.e.
, they will run the risk of delivering a paper reflecting research that is not suitable for this course.
Analytical Research Project
The purpose of the Research Project is to develop an in-depth understanding of the intrusion detection and/or prevention technology and the way in which such technology is used to protect specific computing environments against specific threats. To arrive at this understanding, your project may choose to follow either one of two analytical approaches:
1. Analysis of a tool or technique including functional applicability and limitations
2. Analysis of environmental security requirements and technologies to meet those requirements
Tool-centric Research
: Projects of the first type will focus on a specific tool, technique, or method used in intrusion detection or intrusion prevention. Choosing a topic for this type of project will mean selecting the tool you want to research and analyze and developing a research question or thesis statement that your research is intended to answer. The analysis for a tool-centric research project should emphasize the use and application of the tool, technique, or method rather than a simple explanation of its features. If you choose a product or tool with a broad set of capabilities, you may choose to provide an analysis of one or more aspects of the tool. The paper distills fundamental issues, focuses on one available solution, a.
Analyze the performance of the leadership of an organization (Netfli.docxjack60216
Analyze the performance of the leadership of an organization (Netflix). The focus of this paper (4-6 pages) will be on the actions taken by the corporate leadership in the face of the global financial crisis since 2007. For the purpose of assurance of learning, one score will be given, based on the articulation of the situation, interaction style, goal-setting process, and leadership behaviour. Figure out exactly what was the reaction to the difficult business environment. Just pick a few things (or even only one and go in detail).
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Analyze the subjective portion of the note. List additiona.docxjack60216
Analyze the subjective portion of the note. List additional information that should be included in the documentation.
Analyze the objective portion of the note. List additional information that should be included in the documentation.
Is the assessment supported by the subjective and objective information? Why or why not?
What diagnostic tests would be appropriate for this case, and how would the results be used to make a diagnosis?
Would you reject/accept the current diagnosis? Why or why not? Identify three possible conditions that may be considered as a differential diagnosis for this patient. Explain your reasoning using at least three different references from current evidence-based literature.
ABDOMINAL ASSESSMENT NOTE
Subjective:
• CC: “My stomach hurts, I have diarrhea and nothing seems to help.”
• HPI: JR, 47 yo WM, complains of having generalized abdominal pain that started 3 days ago. He has not taken any medications because he did not know what to take. He states the pain is a 5/10 today but has been as much as 9/10 when it first started. He has been able to eat, with some nausea afterwards.
• PMH: HTN, Diabetes, hx of GI bleed 4 years ago
• Medications: Lisinopril 10mg, Amlodipine 5 mg, Metformin 1000mg, Lantus 10 units qhs
• Allergies: NKDA
• FH: No hx of colon cancer, Father hx DMT2, HTN, Mother hx HTN, Hyperlipidemia, GERD
• Social: Denies tobacco use; occasional etoh, married, 3 children (1 girl, 2 boys)
Objective:
• VS: Temp 99.8; BP 160/86; RR 16; P 92; HT 5’10”; WT 248lbs
• Heart: RRR, no murmurs
• Lungs: CTA, chest wall symmetrical
• Skin: Intact without lesions, no urticaria
• Abd: soft, hyperactive bowel sounds, pos pain in the LLQ
• Diagnostics: None
Assessment:
• Left lower quadrant pain
• Gastroenteritis
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Analyze the measures your state and local community have in pl.docxjack60216
Analyze the measures your state and local community have in place to prepare hospitals for two (2) different types of threats to public health. Question whether the design of these measures allows for the sufficient protection of the population in the face of an imminent threat. Justify your response.
Examine two to three (2-3) changes to the preparedness policies of your chosen state and federal government agencies. Determine the significant social, political, or environmental factors that have influenced these changes. Provide support for your rationale.
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Analyze two (2) advantages and two (2) disadvantages of creati.docxjack60216
Analyze two (2) advantages and two (2) disadvantages of creating portable learning assets for an LMS.
Research alternatives to Shareable Content Object Reference Model (SCORM). Determine at least one (1) alternative to SCORM and recommend a way for an organization of your choice to package its assets to make them portable. Explain your rationale.
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This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
How to Download & Install Module From the Odoo App Store in Odoo 17Celine George
Custom modules offer the flexibility to extend Odoo's capabilities, address unique requirements, and optimize workflows to align seamlessly with your organization's processes. By leveraging custom modules, businesses can unlock greater efficiency, productivity, and innovation, empowering them to stay competitive in today's dynamic market landscape. In this tutorial, we'll guide you step by step on how to easily download and install modules from the Odoo App Store.
A Free 200-Page eBook ~ Brain and Mind Exercise.pptxOH TEIK BIN
(A Free eBook comprising 3 Sets of Presentation of a selection of Puzzles, Brain Teasers and Thinking Problems to exercise both the mind and the Right and Left Brain. To help keep the mind and brain fit and healthy. Good for both the young and old alike.
Answers are given for all the puzzles and problems.)
With Metta,
Bro. Oh Teik Bin 🙏🤓🤔🥰
CapTechTalks Webinar Slides June 2024 Donovan Wright.pptxCapitolTechU
Slides from a Capitol Technology University webinar held June 20, 2024. The webinar featured Dr. Donovan Wright, presenting on the Department of Defense Digital Transformation.
ECO550 Week 2 Scenario Script Models of Supply and Demand, and No.docx
1. ECO550 Week 2 Scenario Script: Models of Supply and
Demand, and Non-Price Determinants of Each
Slide #
Topics
Narration
Slide 1
Scene 1
An older cottage style family run business (Katrina’s Candies)
Slide 2
Scene 2
Herb and Maria are in Herb’s office reviewing the demand
model Herb and Renee formulated and discussing the data Maria
compiled for estimating the model.
2. Show the 5 variables on projector:
Price of Katrina’s Sugar Free Chocolate;
Price of the substitute good;
Complementary good;
Income;
Number of buyers in the market.
ECO550_2_2_Herb-1:Good day, Maria. Thanks for responding
so quickly to my request for data.
ECO550_2_2_Maria-1:Hello, Herb. No problem, I am assigned
to the team to help with the data so when I received your email,
I started looking for the data immediately.
ECO550_2_2_Herb-2:Fantastic. Let’s get started by reviewing
the data you compiled. Then you can explain how I can use
Excel to estimate the model.
ECO550_2_2_Maria-2:First, would you review the model with
me? I need to understand how the model is setup.
ECO550_2_2_Herb-3:Oh, okay. Recall from our team meeting
that the team’s task is to provide Ken with information he can
use to respond to the Board of Directors’ request to expand
Katrina’s into international markets.
3. ECO550_2_2_Maria-3:Yes, I do recall that.
ECO550_2_2_Herb-4: Renee and I met after the team meeting
and decided the best way to proceed is to build a model of the
demand for Katrina’s new sugar-free-chocolate candy then use
the model to predict the demand. In the model, the quantity of
Katrina’s sugar-free-chocolate candy is the dependent variable
and there are five independent variables.
ECO550_2_2_Maria-4: Very interesting! Could you please go
over these five independent variables with me?
ECO550_2_2_Herb-5: Sure! The first independent variable is
theprice of Katrina’s sugar-free chocolate. The model must
include the price of sugar-free-chocolate; otherwise, there is no
demand curve.
Next is the price of the substitute good. In the case of
chocolate, caffeinated coffee is the substitute good. Then there
is the complementary good; for Katrina’s model, we selected
bottled water; therefore the price of bottled water is the next
independent variable. Income is another variable typically
included in a demand curve. For our model, we selected median
household income.
Last, since we are interested in the market for Katrina’s sugar-
free-chocolate, the number of buyers in the market is included
as an independent variable.
ECO550_2_2_Maria-5: Thanks for going over that. You and
Renee were certainly busy!
ECO550_2_2_Herb-6: Yes, we were! I am going to use the data
you provided to estimate the model to see if we selected the
right set of determinants. Then, Renee and I can use the model
4. to develop other measures that tell us more about the market for
Katrina’s sugar-free-chocolate.
Slide 3
Scene 3
In Herb’s office to explain concept of estimation
Shows the model on the projector
Show on the projector: The notation on the left side of the equal
sign, Qsubscript-d-k-s-f-c represents the dependent variable
ECO550_2_3_Maria-1:You mentioned a lot of terms that are
sort of new to me. In this case what does “estimate” mean?
ECO550_2_3_Herb-1:Here this may help with the concept of
estimation, here’s what the finalized model should look like.
We will talk about the actual estimation process in a few
moments.
ECO550_2_3_Maria-2: I’m not too sure of what this model
contains, could you explain further?
ECO550_2_3_Herb-2: Gladly! The notation on the left side of
the equal sign, Q subscript-d-k-s-f-c represents the dependent
variable which is the quantity of Katrina’s sugar-free-chocolate
candy. The terms on the right-side of the equal sign are the
independent variables I just explained.
ECO550_2_3_Maria-3: That makes a lot more sense now!
Where does the estimation process come into play?
ECO550_2_3_Herb-3: Estimating the model means to find
values for the coefficients, which in our model are the “b’s”.
Coefficients are numeric values that indicate how much the
5. quantity of the dependent variable will change as independent
variables change. The data you compiled will be used to
calculate the coefficient values. This information is important
as it helps determine the quantity demanded of sugar-free-
chocolate changes in response to changes in the independent
variables included in the model.
ECO550_2_3_Maria-4:Okay, got it. You’ve used the terms
“dependent variable” and “independent variable”while
explaining the model.Could you provide me with some insight
on these terms?
ECO550_2_3_Herb-4:Yes, of course. A dependent variable is a
variable that changes value when changes occur in some other
variable. The term “variable” is used to capture the fact that the
value can change. On the flipside, an independent variable is a
variable that impacts or causes a change in the dependent
variable.
ECO550_2_3_Maria-5:Okay, Herb, I think I understand now.
Can you give me examples of dependent and independent
variables that are different from Katrina’s sugar-free-chocolate
candy?
ECO550_2_3_Herb-5:Yes I can, Maria. I believe a good
example is umbrellas. Think about umbrella sales, when the
weather changes from clear to rainy, people buy more
umbrellas. This is especially prevalent with people who may
have left their umbrellas at home. In this example, the quantity
of umbrellaspurchased changes when the weather changes, so it
is quite easy to identify the dependent and independent
variables in this example. The quantity of umbrellas sold is the
dependent variable while rain is the independent variable.
ECO550_2_3_Maria-6:That’s anexcellent example, Herb. I
understand exactly how the model functions now. The
6. independent variables you and Renee selected will explain what
caused or is causing the demand for Katrina’s sugar-free
chocolate candy to change.
ECO550_2_3_Herb-6: Yes, Maria, that’s right. Using the data
you provided, we are going to see how well the model we
formulated explains the demand for sugar-free-chocolate candy.
Slide 4
Scene 4
Herb’s office to go over the data Maria collected.
Insert the URL for the Census Bureau
Show a pictures of the Strayer Resource Center
7. ECO550_2_4_Herb-1: Maria, could you update me on the data
you collected for this project?
ECO550_2_4_Maria-1:I located most of the data you requested
involving the number of sugar-free-chocolates Katrina’s sold
since introducing the new candy and the selling prices. You will
notice that this data is available in our accounting database.
However, I had to search outside of the database for other data.
ECO550_2_4_Herb-2: What other data did you need to acquire
and how did you go about doing this search?
ECO550_2_4_Maria-2:I needed to find the prices of coffee and
I simply did a Google search and looked for reliable sources of
information pertaining to concepts such as the price of coffee.
ECO550_2_4_Herb-3: Okay, that leaves data on the price of
water, median income and the number of buyers. Where did you
retrieve data for these independent variables?
ECO550_2_4_Maria-3: Well, I retrieved median household
income data from the U.S. Census Bureau website. Census data
is easy to find, reliable and easy to use. I just went to the
Census Bureau website, typed in the key term, “household
income,” then selected the median household income for the
appropriate years.
ECO550_2_4_Herb-4:Did you know you could have retrieved
data on income and other variables by going through Strayer’s
Global campus’ Resources Center?
ECO550_2_4_Maria-4: No, I didn’t know that, Herb. Isn’t
access to Strayer’s Resources Center restricted?
ECO550_2_4_Herb-5:Yes, only enrolled students, faculty and
8. staff and subscribers can use the Resource Center. However,
since there are so many Strayer educated employees here at
Katrina’s, we have free access to the Resource Center.
ECO550_2_4_Maria-5:That’s great news, Herb!
ECO550_2_4_Herb-6: I agree! So in the future when you need
to search for data, check out the Resource Center first.
Slide 5
Scene 5
Herb’s office to go over the data Maria collected and
investigate briefly the Resource Center
9. ECO550_2_5_Maria-1:The Resource Center seems very easy to
use. I’ll definitely use it next time I need to find data. Let’s see
where we are with the data I compiled. I told you about data for
the quantity and price of Katrina’s sugar-free-chocolate candy,
data on the price of caffeinated coffee and median household
income. Now, I have to tell you, I had a problem finding price
data for bottled water and finding the number of consumers who
purchase chocolate candy.
ECO550_2_5_Herb-1:Oh, no. Does this mean we have to
change our model?
ECO550_2_5_Maria-2:That depends upon whether you accept
the proxy variables I found and recommend using them to
“estimate” the model.
ECO550_2_5_Herb-2: I’m not quite sure about these “proxy
variables.” Could you elaborate on this concept?
ECO550_2_5_Maria-3: Sure thing! When data is not available
for a variable, analysts often use data from another variable to
capture the same relationship as the original variable. It is this
substitute variable that is referred to as “proxy variable.”
ECO550_2_5_Herb-3: Does data for proxy variables work as
well when the model is estimated?
ECO550_2_5_Maria-4:That depends, in some cases the answer
is yes and in others it is no. In order to determine the answer,
you are required to estimate the model to find out. Keep in
mind that if the proxy data does not work, then the variable is
dropped from the model.
ECO550_2_5_Herb-4: Thanks for the clarification on this
subject. We can continue with our updates on the data you
collected.
10. Slide 6
Scene 6
Herb’s office to go over the data Maria collected.
Show data table of per capita consumption of bottled water.
ECO550_2_6_Maria-1:Again, since I was unable to locate the
price of bottled water, I had to add a proxy variable. The data I
used dealt with the per capita consumption of bottled water.
ECO550_2_6_Herb-1:The data I’m looking at shows the per
capita consumption of bottled water, by gallon over twelve
years. I think this data works well as a proxy. What data did
you find to proxy the number of buyers?
ECO550_2_6_Maria-2: I had to think hard about a number of
buyers proxy. In the end, I found a good proxy in a Department
of Commerce report, it is called “Current Industrial Reports.”
The proxy I used dealt with the confectionery exports of
domestic merchandise measured in pounds per year.
ECO550_2_6_Herb-2:This data also serves as a great proxy. Of
course, I’ll have to consult with Renee to get her opinion
because she’s the one mentoring me on this project. But I’m
fairly certain Renee will agree with me.
ECO550_2_6_Maria-3:Okay! Here’s the data I compiled from
our accounting records.
ECO550_2_6_Herb-3: Great! Now, can we create the data set
in Excel and then estimate the model?
ECO550_2_6_Maria-4:That’s correct! I have some great
resources that will help you review how to create datasets in
Excel and how to use Excel functions to estimate the model.
Please look over these resources and I will get back to you once
you are finished.
11. ECO550_2_6_Herb-4:Okay that sounds great!
Slide 7
Scene 7
Interaction Slide
Incorporate iPad to show Videos about Excel and model
creation
· Multiple Linear regression analysis using Microsoft Excel’s
Data Analysis toolhttp://www.youtube.com/watch?v=ZwtxHXh-
ZXU
· Multiple Regression Interpretation in Excel
http://www.youtube.com/watch?v=tlbdkgYz7FM
Slide 8
Scene 8
Herb’s office to go over the data Maria collected
Show regression output table
Herb shows formula
12. Herb shows Maria the updated formula
One more formula for Herb to go over
Display on projector: The new quantity demanded is, three
hundred seventy-four thousand, three hundred sixty-six point
two boxes of sugar-free-chocolates.
ECO550_2_8_Maria-1: I hope those videos helped you gain a
better understanding of using Excel to create data sets. I want
you to keep in mind that the procedure we will be using to
estimate the model is regression. The model Renee and you
formulated is a multiple regression model because there is more
than the price of chocolate included as an independent variable.
Take a look at the regression output for our estimated model.
ECO550_2_8_Herb-1: Wow! That was fast!
ECO550_2_8_Maria-2:Yes, Herb, Excel generates results
almost instantaneously.
ECO550_2_8_Herb-2: Okay, let’s see what we have. I see the
coefficients are presented in a single column. Let me rewrite
the model to include the coefficient values.
ECO550_2_8_Maria-3: What does all of this mean?
13. ECO550_2_8_Herb-3: Well, the first number, three hundred and
forty four thousand and four hundred point five refers to the
number of boxes of sugar-free-chocolate demanded if none of
the independent variables changed their value. If we assume
one of the other variables changes while all of the others remain
constant, then we calculate a new number of boxes of chocolate.
ECO550_2_8_Maria-4: Could you give me an example for this
change?
ECO550_2_8_Herb-4: Sure! For my example, let’s assume that
the price of Katrina’s sugar-free-chocolates declines by one
dollar while none of the other independent variables
changes. According to our model, the decrease in price would
cause quantity demanded to increase by twenty nine thousand
and nine hundred and sixty five point seven boxes. Each of the
other coefficients is then interpreted similarly. Here’s the way
we calculate the change in quantity demanded, if price was to
change.For all of the variables that are constant, that is, those
unchanging variables, we substitute a “zero.”
ECO550_2_8_Maria-5: That is very interesting! Is there
anything else I should know?
ECO550_2_8_Herb-5: There is one more thing I’d like to add.
For the price of Katrina’s sugar-free-chocolate, substitute one
dollar, with a negative sign in front of it to indicate price
declined. Here, I’ll show you how the model determines
quantity demanded. After making the changes the new quantity
demanded is, three hundred seventy-four thousand, three
hundred sixty-six point two boxes of sugar-free-chocolates.
ECO550_2_8_Maria-6:Thank you for sharing that with me! Now
that you explained this all to me, things are much clearer.
ECO550_2_8_Herb-6: Not a problem at all. As you can see,
14. regression models are useful but only if the results from the
model are valid.
Slide 9
Scene 9
Herb’s office to conduct significance test on the model and
coefficients with Maria
Display on projector: The coefficient of determination ranges
from 0 to 1.
Display on projector: A higher adjusted R-square indicates a
better model.
http://wn.com/r-squared_or_coefficient_of_determination
ECO550_2_9_Herb-1: Now we need to check the model and
coefficients for significance.
ECO550_2_9_Maria-1:How do we that?
ECO550_2_9_Herb-2: First, we evaluate the adjusted R-square
value to see how much of the variation in the quantity
demanded of sugar-free-chocolates is explained by the
independent variables we included in the model. The closer R-
square is to one, the better is the explanatory power of the
independent variables.The adjusted R-square for our model’s
results is point seven, nine, nine which means the model
explains seventy-nine point nine percent of the variation in the
quantity of sugar-free-chocolates. Maria, I found this video that
helps to explain the coefficient of determination from another
standpoint.
ECO550_2_9_Maria-2:Based upon the explanation you gave
about R-square being close to one, seventy-nine-point-nine
percent is very good.
15. ECO550_2_9_Herb-3:Yes, it looks as if we included the right
set of independent variables.
ECO550_2_9_Maria-3:What’s next, Herb?
ECO550_2_9_Herb-4:Now we evaluate the overall significance
of the independent variable. We are looking for the answer to
the question: Can the behavior of the dependent variable, our
quantity of sugar-free-chocolates, be explained without relying
on the independent variables included in the model? For this
test we will evaluate the F-statistic. We first need to state the
level of significance, called the “critical-value,” which we will
use to test the F-statistic.
For our model we are going to use the five-percent level of
significance; therefore,the table gives us a critical F-value of
four-point-one-two.
ECO550_2_9_Maria-4:I think I understand how you selected the
critical value. I think now we must compare the F-statistic
generated for the model to the critical value.
ECO550_2_9_Herb-5:Yes, that’s exactly what we will do. Since
the F-calculated value is eleven-point-nine-five-two and is
greater than four-point-one-two, a significant relationship does
exist between the quantity of sugar-free-chocolate and the four
independent variables.
ECO550_2_9_Maria-5:Great! So we’re done then?
ECO550_2_9_Herb-6:No, not quite yet. We still need to
evaluate the significance of each coefficient. We can actually
use the same method used to find the critical value of F only
this time we will conduct a t-test on each coefficient value.
Slide 10
16. Scene 10
Herb’s office to conduct significance test on the model and
coefficients with Maria
ECO550_2_10_Maria-1:So based on the t-test, tell me which
independent variables are significant.
ECO550_2_10_Herb-1: According to the t-test, only the price
per boxand bottled water are significant. The coefficient on
median income is marginally significant; however, we cannot
use the coefficient for anything. Surprisingly, the caffeinated
coffee coefficient is insignificant.
ECO550_2_10_Maria-2:I see why you are saying coefficients
are insignificant.
ECO550_2_10_Herb-2: Yes, this revelation about independent
variable significance means we need to drop the caffeinated
coffee variable and re-estimate the model.
ECO550_2_10_Maria-3:Is it okay to drop variables from a
model after the model is estimated?
ECO550_2_10_Herb-3: Yes, if an independent variable is not
significant, one of the recommended solutions is to drop the
variable from the model. In our model, this means sugar-free-
chocolate and caffeinated coffee are not substitute goods so
coffee does not contribute anything to our understanding about
demand for Katrina’s sugar-free-coffee.
ECO550_2_10_Maria-4:Does dropping the insignificant
variable mean we still use the coefficients generated when
caffeinated coffee was a variable in the model?
ECO550_2_10_Herb-4: That is a good question, Maria! The
answer is, no. When we drop a variable like caffeinated coffee
17. from the model, we have to re-estimate the model and then run
the Excel regression procedure again to generate new
coefficient values.
ECO550_2_10_Maria-5:Let’s run the regression without data on
caffeinated coffee—I’m anxious to see if there is any difference
in the results.
ECO550_2_10_Herb-5: Okay, but before we re-estimate the
model, I think we should also drop the bottled water variable.
After some consideration, the amount of water consumed is not
a good proxy for the price of water. Also, the correlation
coefficient between bottles of water and income is nearly one.
Therefore, there seems to be a problem with their correlation.
Keep in mind that we also need to add a Dummy variable to
measure the impact of sugar-free-chocolate which Katrina’s
introduced into the market last year. Renee and I forgot to
include a dummy variable in the first model.
ECO550_2_10_Maria-6: Whatever you say, Herb. You know
this process better than I do.
ECO550_2_10_Herb-6:Let me compute this quick. (pause) Here
are the results now.
Scene 11
Scene 11
Herb’s office to conduct significance test on the model and
coefficients with Maria
ECO550_2_11_Maria-1:Are these results better, Herb?
ECO550_2_11_Herb-1:Yes, everything is now significant. Now
we can use the regression equation to derive decision-making
statistics like elasticity coefficients.
18. ECO550_2_11_Maria-2:How do we go about doing that?
ECO550_2_11_Herb-2: Make a note that the point elasticity of
demand is calculated as the change in quantity divided by the
change in price times price divided by quantity. Here’s how the
formula looks.
ECO550_2_11_Maria-3:Okay, so where is the data to calculate
elasticity?
ECO550_2_11_Herb-3:The regression coefficients or the b’s in
the model are the change in quantity divided by a change in
price, so that part is simple.
ECO550_2_11_Maria-4:Do you mean the negative forty-two
thousand, one hundred eighty-nine that is the coefficient for the
price variable?
ECO550_2_11_Herb-4:Yes, however, we have to calculate the
“q” that’s in the elasticity of demand formula.
ECO550_2_11_Maria-5:What does the ‘q” stand for?
ECO550_2_11_Herb-5: In the elasticity formula, q, is the
quantity demanded at a specific price. For this step, we first
find the demand curve.
ECO550_2_11_Maria-6:I thought we already have the demand
curve.
ECO550_2_11_Herb-6: Not quite yet, I was discussing the
regression equation which includes all of the independent
variables we included in the model. The demand curve is
different, as only the price variable is included in the demand
curve.For our example we will use some numbers from 2004.
19. We will then use these numbers to showcase how to derive the
demand curve. First, go back to the regression equation. Now
substitute the data as follows. For income, substitute one-
thousand dollars and for exports substitute two-six-three-three-
six-six point seven.
Slide 12
Scene 12
Herb’s office to conduct significance test on the model and
coefficients with Maria
ECO550_2_12_Maria-1:Okay, I did that. What about the price
variable, should I substitute for price?
ECO550_2_12_Herb-1:No, not yet. Just solve what you have as
this will give the demand curve.
ECO550_2_12_Maria-2:Is that all there is to finding the demand
curve from the regression model?
ECO550_2_12_Herb-2: Yes, that’s it! We’re nearly finished as
we have only two more steps to calculate elasticity. Again using
the data from 2004 substitute twenty-four dollars for price
variable into thedemand curve and solve to get a quantity equal
to two-million, ninety-six thousand, seven-hundred eight-point
eight-eight. The elasticity coefficient is then negative zero point
four-eight-two-nine. We can then round to negative zero point
four-eight-three.
ECO550_2_12_Maria-3:Thank you for going over this with me.
Since you showed me how to do this, things seem clearer. Does
this mean we are finished with this stage of the process to
create information for Ken to use when he considers the
decision to expand into international markets?
ECO550_2_12_Herb-3: Yes, we have completed this stage. We
20. just need to update Renee on our progress.
ECO550_2_12_Maria-4: I will update Renee on our findings.
While I complete this task could you complete this review
activity based on what we just discussed?
Slide 13
Scene 13
Check Your Understanding
Scenario-based and will use folder structure to present scenario,
then have tabs to represent options for answers
Narrations will be provided for scenario overview and choices
(feedback included as well)
ECO550_2_13_Maria-1: Based upon the result that the price
elasticity of demand coefficient is -0.483 for Katrina’s sugar-
free-chocolate, Herb can advise Ken that Katrina’s should never
use price as a tool for increasing total revenue?
ECO550_2_13_Maria, Agree, Response 1-2:Agreed, that’s
correct since price elasticity of demand is less than one it means
demand is elastic. As a result of this, the increasing price would
lower total revenue because customers would react very
strongly to an increase in price by changing their purchases by a
greater percentage than the percentage change in price.
Therefore, Herb is giving Ken the appropriate advice.
ECO550_2_13_Maria Incorrect response-3:
We should expect the percentage change in quantity demanded
to change by less than the percentage change in price.
ECO550_2_13_Maria, Disagree, Option 2-4: When the absolute
value of the price elasticity of demand coefficient is less than
one it means demand is inelastic, so if price is increased by a
certain percentage, say ten percent, demand will change by a
lower percentage, such as eight percent. Therefore, when
demand is price inelastic, increasing the price actually results in
higher total revenue. For Katrina’s, this means demand for
21. sugar-free-chocolate is price inelastic and the company could
increase total revenue by increasing price.
Slide 14
Summary
Concluding scene taking place in conference room
ECO550_2_14_Herb-1: Maria, we have discussed and analyzed
a lot today.
ECO550_2_14_Maria-1: We sure have. Let’s outline the tasks
we completed to make certain we remember everything. First,
you explained the demand model that you and Renee
formulated. I then described the data and its sources for the data
that I compiled. We later discussed proxy data and agreed it
was okay to use this kind of data for two of the variables.
ECO550_2_14_Herb-2: Let’s not forget about our creation of
the data set in Excel along with the creation of our estimation
model.
ECO550_2_14_Maria-2: I’m glad you brought that up! Next, we
discussed the results of our model and conducted significance
tests for the model and its coefficients. Lastly, we used these
results to generate an amended regression model to formulate
the demand curve and calculate the price elasticity of demand
coefficient.
ECO550_2_14_Herb-3: Thank you for the recap. I will be sure
to update Renee on what we covered today.
ECO550_2_14_Maria-3: That’s fantastic! I will talk to her as
well when I see her next. That is all for today, I’m now going
back to my office to update Ken on our progress with this
project. Until we meet again,don’t forget to complete your
weekly threaded discussions based on the key concepts we
covered this week.