as noted by kirk 2016 working with data is one of the four stages of the visualization workflow according to kirk 2016 a dataset is a collection of data values upon which a visualization is based in this course we will be using datasets that h

Background: As noted by Kirk (2016), working with data is one of the four stages of the visualization workflow. According to Kirk (2016), “A dataset is a collection of data values upon which a visualization is based.” In this course, we will be using datasets that have already been collected for us. Data can be collected by various collection techniques.

Reference: Kirk, Andy. Data Visualisation: A Handbook for Data Driven Design (p. 50). SAGE Publications.

Assignment: Summarize 3 data collection techniques (Interviews, Surveys, Observations, Focus Groups, etc.). Compare and contrast the 3 data collection techniques you selected. Lastly, what collection techniques do you prefer and why?

Your research paper should be at least 3 pages (800 words), double-spaced, have at least 4 APA references, and typed in an easy-to-read font in MS Word (other word processors are fine to use but save it in MS Word format). Your cover page should contain the following: Title, Student’s name, University’s name, Course name, Course number, Professor’s name, and Date.

 

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post-4-quot-consumer-and-trade-promotions-chapter-12-quot

What are the benefits and problems associated with sampling as it relates to the topic of consumer promotions? Give a detailed example of when sampling prompted you to buy something as well as if it led you to make (or not make) a repeat purchase. Explain your experience and identify what the brand did well…
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Master Public Policy Class Annotated Reading 1 And 2

  

Read the article “Factors Influencing the Use of Performance Data to Improve Municipal Services: Evidence from the North Carolina Benchmarking Project.” https://search.ebscohost.com/login.aspx?direct=true&AuthType=sso&db=eft&AN=29332084&site=ehost-live&custid=092-800

Each question is worth 30 points, for a total of 150 points. Each response should be approximately 125 words. However, you will not be penalized for a longer answer, and you can receive fuller points for a well-presented, thorough response. I am offering this as a guideline. Please use full sentences, proper grammar, spelling and punctuation, and explain or paraphrase, do not cut-and-paste. Each response does not need to be structured like a full essay, however, just a direct response to the question. The primary intent of this assignment is to demonstrate you have read and taken away the key points of the reading.

1.At the time of this publication (2008), what was the status so far regarding how municipal governments implemented performance measures, and used data meaningfully (as opposed to just having adopting measures, which, on p. 304, is defined as “design and collection of measures), or as described on p. 305, the difference between rhetoric and reality. Why is there a gap between what apparently should be done, according to the data, and what has been done?

2.What are the tangible and intangible benefits mentioned on p. 306 (general examples)? Provide two specific examples of tangible benefits discussed later in the article relative to the North Carolina experience (You may be able to answer this well in less than 150 words.)

3.Give three examples of how performance data regarding service improvement was helpful in the NC municipalities.

4.Distinguish between “rudimentary performance measures” and “higher order measures”. Give an example of each. Explain why higher order ones are more meaningful.

5.Why is measurement of efficiency so complex, and why should municipal leaders focus on measures of performance other than simply efficiency?

Annotated reading 2

Read the articles “Commercial Aviation: Pilots’ and Flight Attendants’ Exposure to Noise aboard Aircraft.” (Module 6: https://www.gao.gov/assets/690/688396.pdf)

Each question is worth 30 points, for a total of 150 points. Each response should be approximately 125 words. However, you will not be penalized for a longer answer, and you can receive fuller points for a well-presented, thorough response. I am offering this as a guideline. Please use full sentences, proper grammar, spelling and punctuation, and explain or paraphrase, do not cut-and-paste. Each response does not need to be structured like a full essay, however, just a direct response to the question. The primary intent of this assignment is to demonstrate you have read and taken away the key points of the reading.

1.Why does exposure to noise matter? What government agency is primarily tasked with oversight of this problem, and why is/should be the government involved in collecting data on this problem at all?

2.The report authors do not collect data on the problem directly. Describe the method they use to conduct their analysis and reach their conclusions.

3.The authors use standards set by the oversight agency to assess how effectively airlines are in keeping noise down. What are these standards? Describe/Paraphrase.

4.The authors look at studies examining three broad categories of outcomes. What are these? How are they measured?

5.Based on what you can tell from this article, are they collecting qualitative or quantitative data, or both? Explain your response.

 

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ROI data set

For these project assignments throughout the course you will need to reference the data in the ROI Excel spreadheet. Download it here.

Using the ROI data set:

  1. For each of the 2 majors test the hypothesis at the 5% significance level:
    • The mean ‘Cost’ for a college is $160,000. Be sure to interpret your results.
  2. For Business versus Engineering majors conduct a two sample test of the hypothesis at the 10% significance level (assume the variances are not equal):
    • The average ’30-Year ROI’ for Business majors is less than for Engineering Majors. Be sure to interpret your results.

    For each of the two majors:

    1. Draw the scatter diagram of Y = ‘Annual % ROI’ against X = ‘Cost’.
    2. Obtain b0 and b1 of the regression equation defined as y ̂ = b0 + b1X and the coefficient of determination (r2) from the Excel regression output.
    3. Draw the fitted regression line on the scatter diagram.
    4. Calculate the estimated ‘Annual % ROI’ when the ‘Cost’ (X) is $160,000.
    5. Test the hypothesis:
      • H0: β1 = 0
      • Ha: β1 ≠ 0
    6. Write a paragraph or more on any observations you make about the regression estimates, coefficient of determination, the plots, and the results of your hypothesis tests.

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