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Question 1: Assigned Readings:
Chapter 7. Basic Methods for Establishing Causal
Question 1: Assigned Readings:
Chapter 7. Basic Methods for Establishing Causal Inference
Chapter 8. Advances Methods for Establishing Causal Inference
Initial Postings: Read and reflect on the assigned readings for the week. Then post what you thought was the most important concept(s), method(s), term(s), and/or any other thing that you felt was worthy of your understanding in each assigned textbook chapter.Your initial post should be based upon the assigned reading for the week, so the textbook should be a source listed in your reference section and cited within the body of the text. Other sources are not required but feel free to use them if they aid in your discussion.
Also, provide a graduate-level response to each of the following questions:
Causal inference is used as a secondary or tertiary tool in root cause analysis. Please explain how causal inference and root cause analysis are used in problem detection. Respond to this discussion board (DB) in the context of your field of employment. For example, if you are in I.T., respond to this DB by explaining the cause of a network failure; or if you are the in the food industry, use this DB to explain the cause of a recent decline in customer satisfaction.Please address each component of the discussion board. Also, cite examples according to APA standards.
[Your post must be substantive and demonstrate insight gained from the course material. Postings must be in the student’s own words – do not provide quotes!]
[Your initial post should be at least 450+ words and in APA format (including Times New Roman with font size 12 and double spaced). Post the actual body of your paper in the discussion thread then attach a Word version of the paper for APA review]
Submitting the Initial Posting:Your initial posting should be completed by Thursday, 11:59 p.m. EST.
Response to Other Student Postings: Respond substantively to the post of at least two peers, by Friday, 11:59 p.m. EST. A peer response such as “I agree with her,” or “I liked what he said about that” or similar comments are not considered substantive and will not be counted for course credit.
[Continue the discussion through Sunday,11:59 p.m. EST by highlighting differences between your postings and your colleagues’ postings. Provide additional insights or alternative perspectives]
Evaluation of posts and responses: Your initial posts and peer responses will be evaluated on the basis of the kind of critical thinking and engagement displayed. The grading rubric evaluates the content based on seven areas:
Content Knowledge & Structure, Critical Thinking, Clarity & Effective Communication, Integration of Knowledge & Articles, Presentation, Writing Mechanics, and Response to Other Students.
Question 2:
Activity I – Last year, your firm collected data on each of its 107 division managers. The data contain growth figures for each manager’s division, the manager’s tenure with the firm, and the manager’s score on a leadership test, which was administered firmwide. These data are contained in the file attached.
Run a regression designed to determine the effect of manager tenure on division growth.
What role, if any, can the manager’s leadership test score play in the regression you ran for Part a? Explain.
Activity II – Use the data in the attached for this question.
You are working as an analyst for a large cable company that offers bundles of channels all across the United States. One of the bundles is the “basic package,” which includes network channels along with a few other basic cable channels. You are interested in learning how the price of this basic package influences the rate of subscriptions in a market. You have data on subscriptions per 1,000 local residents, price for the basic package, and average local household income. You also have data on local telecom labor costs per subscriber. You believe this last variable influences the local price but not subscriptions per se.
Based on the data provided, write out an expression for the data-generating process for subscriptions per 1,000 local residents.
Estimate the effect of basic package price on subscriptions per 1,000 local residents using OLS. Why might you distrust this result as being a causal effect?
Question 3 : The Final Project will consist of a Tableau Analysis and Presentation. Please follow this link to download Tableau.Tableau for StudentsStudents can download Tableau Desktop and Tableau Prep for free through Academic Programs. Try it now.TableauUse your University of the Cumberlands email as verification.Download the following attachments to complete the Project.
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