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*Abstract*: The United States has trained some of the worlds best computer programmers and technology experts. Despite all o

Answer the following questions about the abstract above: 1) What is a potential hypothesis of the researchers? 2) What is one

*Abstract*: The United States has trained some of the world's best computer programmers and technology experts. Despite all of this training, many businesses do not have a full understanding of information technology. As the importance of technology in the business world grows, many companies are wasting money on extensive technology projects. When problems arise, they expect that further investment will solve these issues. To prevent such problems, many companies have begun to outsource these functions in an effort to reduce costs and improve performance. The majority of these outsourced information technology and call center jobs are going to low-wage countries, such as India and China where English-speaking college graduates are being hired at substantially lower wages. The purpose of this study is to evaluate the positive and negative aspects of offshore outsourcing with a focus on the outsourcing markets in India and China, arguably the two most popular destinations for outsourcers. The cost savings associated with offshore outsourcing will be evaluated in relation to the security risks and other weakness of offshore outsourcing. In addition, an analysis of the number of jobs sent overseas versus the number of jobs created in the United States will be used to assess the effects that outsourcing is having on the American economy and job market. Finally, the value of jobs lost from the American economy will be compared to the value of jobs created. The goal of these analyses is to create a clear picture of this increasingly popular business strategy
Answer the following questions about the abstract above: 1) What is a potential hypothesis of the researchers? 2) What is one of the independent variables? What type of variable is the independent variable? a. 3) What is one of the dependent variables? What type of variable is the dependent variable? a. 4) What might cause some measurement error in this experiment? 5) What type of research design is the experiment? a. Why? 6) How might you measure the reliability of your dependent variable? 7) Is this study ecologically valid? 8) Can this study claim cause and effect? a. Why/why not? 9) what type of data collection did the researchers use (please note that #5 is a different question)?
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Answer #1

1. Is there a significant difference in the value of the jobs lost from American economy and the value of jobs created.

2. Independent variables: Cost reduction or cost saved with offshore outsourcing, performance improvement, Number of jobs sent overseas, number of jobs created in the US, security risks and other weakness.

a. Cost saving is numerical continuous independent variable

3. Dependent variables: the value of jobs lost, and the value of jobs created

a. The value of jobs lost is a numerical continuous data measured.

4. Potential sources of the measurement error causing unknown random variables in this research: Reduce cost and improve performance, Information technology and call center jobs, low wage countries - India and China, English-speaking college graduates. For example response error due to the availability of the sample English speaking graduates.

5. Research is to evaluate the positive and negative aspects of offshore outsourcing and designed to compare the two independent populations if their mean values is different. An independent t test statistics test is the type of model used to compare.

6. Reliability of the dependent variable can be ensured using the significance test level for a desired confidence level for an appropriate power of the test

7. Yes

8. No this design can not say anything about the causes of the effect on the American economy and Job market.

a. Because the variations in the values of jobs lost and created are statistically significant does not imply any relationship between these two random variables.

9. Economic data from the online market data sources and employments and wages related from the government statistical data sites.

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