he threat to biosecurity arises from beyond the specter of bioterrorism. Emergi

he threat to biosecurity arises from beyond the specter of bioterrorism. Emerging and reemerging infectious diseases when combined with global travel have the potential to flare into pandemics. The SARS outbreak of 2003 startled the world into a new reality. Suddenly a rapidly spreading unknown disease threatened the world. (https://youtu.be/B93uZPvThKc)
Consider these three very different outbreaks: SARS was a wholly new EID in 2003; FMD was a reemergence, and the plague in Madagascar (2017) was a particularly large outbreak of an endemic disease. What struck you as important about these outbreaks in terms of EITHER (1) social impact; (2) detection of the outbreaks; OR (3) response activities?

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Case Summary China is Apple’s fastest growing market but the road to success has

Case Summary
China is Apple’s fastest growing market but the road to success has not been smooth. This case documents Apple’s journey on this road to success; the role that Tim Cook played on this journey; the basic dynamics of China’s telecommunications sector, the world’s largest and most dynamic; and obstacles Apple is likely to encounter on the road to its future there. Apple’s products are predominantly contract manufactured in China by Foxconn, a Taiwanese company that was the focus of considerable criticism and negative publicity for poor working conditions and suicides among its young workers. Apple, an aspirational brand in China, was named the top brand in the world in 2015 by Brand Finance–followed in second place by their global nemesis, Samsung. The growing consumer power of the Chinese middle class has accelerated demand for Apple products. Apple’s popularity in China led to considerable counterfeiting or copying of their prototypes, products, know how, trade secrets, service model, and store concepts. It has spawned a cottage industry that supplies fake Apple stores with logos, uniforms, shopping bags, shelves and other accessories to make them appear real. Face-seeking behavior, the propensity of some Chinese to show off high status consumer goods, further spurs the activities of Apple counterfeiters and imitators to meet market demand. After more than a quarter century of continuous high levels of economic growth, China’s economy is cooling. Despite a panoply of obstacles, Apple CEO Tim Cook maintains that China is key to Apple’s bottom line now and in the future.
The complete Apple in China case study reading is available through the Harvard Business Review coursepack.
Objectives
Identify the technical advantages of past Apple successes
Analyze the incentives and challenges of introducing technology in an international market
Describe possible solutions to overcome these challenges
Instructions
You will complete an informational report presentation (3 to 5 minute VoiceThread (Links to an external site.) video) addressing the following questions:
Review Apple’s history. What accounts for Apple’s success in the information and communications technology industry?
Why has Apple been successful in China? What missteps have they made?
What challenges does Apple face in China?
How would you recommend Apple address these challenges ?
What role did Tim Cook play in Apple’s success in China?
In your opinion, is he an appropriate leader to guide Apple into the future (explain why/why not)?
Submission Requirements
Required Slides
Introduction slide (introduce yourself and your presentation topic)
Question slides – one for each of the questions (each slide must draw on appropriate support data and information from the case study, readings, and/or other sources)
Conclusion slide (provide any additional commentary relating to this case study)
Post your completed VoiceThread to the IST 816 Course Area on the Penn State VoiceThread site.
Submit the VoiceThread link to your video to the following two locations:
This assignment (use Submit Assignment button)
L01: Discussion – Apple in China
During the next week, review at least two other students’ presentations using the L01: Discussion – Apple in China.
Please I need a good introduction and also place answers under the questions so I can do the slides.

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Part 1: Project Topic Choose a technology to question in your final project in p

Part 1: Project Topic
Choose a technology to question in your final project in preparation for your presentation at the Online Technology Conference and answer the following questions about it:
What is it?
Why did you choose it?
At this point, very briefly state what you think the answers to the six questions below will be? Why?
What is the problem for which this technology is the solution?
Whose problem is it?
Which people and what institutions might be most seriously harmed by a technological solution?
What new problems might be created because we have solved this problem?
What sort of people and institutions might acquire special economic and political power because of technological change?
What changes in language are being enforced by new technologies, and what is being gained and lost by such changes?
What steps will you take to answer the questions?
What obstacles (if any) do you see in your way to answering the questions?
Please hand in a list of these questions with your answers in complete sentences that use conventional written English. You should write around 300-500 words, not counting the questions.

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Choose a technology to question in your final project in p
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Competencies In this project, you will demonstrate your mastery of the following

Competencies
In this project, you will demonstrate your mastery of the following competencies:
Apply statistical techniques to address research problems
Perform regression analysis to address an authentic problem
Overview
The purpose of this project is to have you complete all of the steps of a real-world linear regression research project starting with developing a research question, then completing a comprehensive statistical analysis, and ending with summarizing your research conclusions.
Scenario
You have been hired by the D. M. Pan National Real Estate Company to develop a model to predict median housing prices for homes sold in 2019. The CEO of D. M. Pan wants to use this information to help their real estate agents better determine the use of square footage as a benchmark for listing prices on homes. Your task is to provide a report predicting the median housing prices based square footage. To complete this task, use the provided real estate data set for all U.S. home sales as well as national descriptive statistics and graphs provided.
Directions
Using the Project One Template located in the What to Submit section, generate a report including your tables and graphs to determine if the square footage of a house is a good indicator for what the listing price should be. Reference the National Statistics and Graphs document for national comparisons and the Real Estate County Data spreadsheet (both found in the Supporting Materials section) for your statistical analysis.
Note: Present your data in a clearly labeled table and using clearly labeled graphs.
Specifically, include the following in your report:
Introduction
Describe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.
Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data Collection
Sampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.
Data Analysis
Histogram: For your two variables, create histograms.
Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.
Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center, spread, shape, and any unusual characteristic (outliers, gaps, etc.) for the two variables.
Compare and contrast the shape, center, spread, and any unusual characteristic for your sample of house sales with the national population. Is your sample representative of national housing market sales?
Develop Your Regression Model
Scatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.
Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.
Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables.
Interpret regression equation: Interpret the slope and intercept in context.
Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.
Conclusions
Summarize findings: In one paragraph, summarize your findings in clear and concise plain language for the CEO to understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?
Provide at least one question that would be interesting for follow-up research.
What to Submit
To complete this project, you must submit the following:
Project One Template: Use this template to structure your report, and submit the finished version as a Word document.
Supporting Materials
The following resources may help support your work on the project:
Document: National Statistics and Graphs
Use this data for input in your project report.
Spreadsheet: Real Estate County Data
Use this data for input in your project report.
Tutorial: Downloading Office 365 Programs
Use this tutorial for support with Office 365 programs.
Use these tutorials for support with the Excel functions you will use in the project:
Tutorial: Random Sampling in Excel
Tutorial: Scatterplots in Excel
Tutorial: Descriptive Statistics in Excel
Tutorial: Creating Histograms in Excel

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In this project, you will demonstrate your mastery of the following
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