Read and summarize (two-page summary) the following article: Moitre, D., & Magnago, F. (2006, August). Using manova methodology in a competitive electric market under uncertainties.

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Read and summarize (two-page summary) the following article:
Moitre, D., & Magnago, F. (2006, August). Using manova methodology in a competitive electric market
under uncertainties. In 2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin
America (pp. 1-6). IEEE.
NOTE : please I need as much as you can technical details

Contrast the needs and sophistication of the three target audiences.

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Overview: Understanding your audience and considering them in your design is essential for building great visualizations. In this exercise, you will explore the
critical steps for identifying and understanding your audience, while analyzing complex visualizations and its message. Module Four discusses the importance of
developing a visualization for an intended audience and bringing the data together so that the audience can receive it with the desired impact and response.
There are many strategies for visualization, depending on the audience, which will inform the use of color, detail, creativity, humor, and more. In this
assignment, you will access a reliable data set. Use that data set to create a different visualization for three different audience types, using some of the
strategies presented in the module.
Prompt: Using Microsoft Power BI, choose a data set, define three different audiences to create visualizations for, and create a distinct visualization for each
audience, submitting screenshots of your visualizations with written analyses of why you chose the data set, a description of each audience, and an explanation
of why you chose the visualization style and elements that you chose for each audience.
Microsoft Power BI has the capability to connect to a wide variety of datasets including many web pages, Excel files and CSV documents. You may choose to
select your own dataset from any publicly available data source. If you do not wish to select a dataset for this exercise, a data file regarding automotive safety
recalls is attached to the assignment link in Learning Modules->Module 4. Data provided courtesy of NHTSA.
This activity should be submitted as a single document.
Your assignment submission should address the following critical elements:
• Visualizations
o Using the available data and tools, create the plots, graphs, and so forth for each audience that match the needs of theaudiences.
• Audience Needs
o Contrast the needs and sophistication of the three target audiences.
▪ Will the overall message change for each audience?
▪ How familiar will each audience be with the issue at hand and with the terminology?
▪ How will things such as educational levels, age levels, primary language, cultural diversity, and so forth vary among your target
audiences?
• Data Visualization Methods
o Provide an explanation of why each data visualization method you chose is appropriate for eachaudience.
o Explain the strengths and weaknesses of the data visualization methodsused.
NOTE: Make sure to save your three visualizations and data selections for next module where additional steps will be taken to change these graphics.
Rubric
Guidelines for Submission: Submit a Microsoft Word document including your written description and screenshots of your three visualizations.

How would changing the confidence interval to 90% or 99% affect the study?

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In everyday terms, a confidence interval is the range of values around a sample statistic (such as mean or proportion) within which clinicians can expect to get the same results if they repeat the study protocol or intervention, including measuring the same outcomes the same ways. As you ask yourself, “Will I get the same results if I use this research?”, you must address the precision of study findings, which is determined by the Confidence Interval. If the CI around the sample statistic is narrow, you can be confident you will get close to the same results if you implement the same research in your practice.
Consider the following example. Suppose that you did a systematic review of studies on the effect of tai chi exercise on sleep quality, and you found that tai chi affected sleep quality in older people. If, according to your study, you found the lower boundary of the CI to be .49, the study statistic to be 0.87, and the upper boundary to be 1.25, this would mean that each end limit is 0.38 from the sample statistic, which is a relatively narrow CI.
(UB + LB)/2 = Statistic [(1.25 + .49)/2 = .87]
Keep in mind that a mean difference of 0 indicates there is no difference; this CI does not contain 0. Therefore, the sample statistic is statistically significant and unlikely to occur by chance.
Because this was a systematic review, and tai chi exercise has been established from the studies you assessed as helping people sleep, based on the sample statistics and the CI, clinicians could now use your study and confidently include tai chi exercises among possible recommendations for patients who have difficulty sleeping.

Now you can apply your knowledge of CIs to create your own studies and make wise decisions about whether to base your patient care on a particular research finding.

Initial Post Instructions

Thinking of the many variables tracked by hospitals and doctors’ offices, confidence intervals could be created for population parameters (such as means or proportions) that were calculated from many of them. Choose a topic of study that is tracked (or that you would like to see tracked) from your place of work. Discuss the variable and parameter (mean or proportion) you chose, and explain why you would use these to create an interval that captures the true value of the parameter of patients with 95% confidence.

Consider the following:

How would changing the confidence interval to 90% or 99% affect the study? Which of these values (90%, 95%, or 99%) would best suit the confidence level according to the type of study chosen? How might the study findings be presented to those in charge in an attempt to affect change at the workplace?

Identify the appropriate statistical tests using alpha=0.05.

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For your final project, you will analyze the set of data provided in the Student Data Table in Week 1. Using at least three of the variables in the dataset (one categorical and two continuous), you will identify two research questions, develop hypotheses, test for relationship, and use the statistics to answer the questions and hypotheses. You should not ask the same questions found in the written assignments.

Course objectives covered in this project include CO 1, CO 2, CO 3, CO 5, CO 6, CO 7

INSTRUCTIONS

To complete the final project, follow these steps:

  1. Devise two research questions based on the variables in the class dataset.
  2. Identify the variables to be utilized. One should be categorical (which may be created from a continuous variable, i.e., variable months enrolled at TESU; Categories: less than one year and one or more years) and two should be continuous variables.
  3. Use descriptive statistics to describe the variables both numerically and graphically.
  4. Devise hypotheses for both research questions.
  5. Identify the appropriate statistical tests using alpha=0.05.
  6. Perform the statistical tests.
  7. Write up the results.

Variables in the class dataset:

  • TESU school in which you are enrolled
    • Arts and Sciences
    • Applied Science and Technology
    • Business and Management
    • Nursing
    • Public Service
  • Months enrolled at TESU
    • Number from 0 to 48 (if over 48, enter 49)
  • Birthday month
  • Average distance to your place of work (in whole miles)
  • Height (in whole inches)
  • Foot size (in whole inches)
  • Hand size (measured from base of palm to longest finger; in whole inches)
  • Typical amount of sleep per night (in minutes)
  • Typical amount of time doing homework per day for classes at TESU (in minutes)

Your paper should be a minimum of 5 pages (1250 words). A grading rubric can be found in the Evaluation Rubrics folder in Moodle.

WRITING AND RESEARCH RESOURCES

The following links provide online writing and research aids to help you with your paper assignments.

  • OWL (Online Writing Lab) at Purdue University
  • Writer’s Handbook, the Writing Center at the University of Wisconsin–Madison
  • APA Guidelines
  • Information Literacy for TESU Students (an online guide from the New Jersey State Library to assist you in starting your research, searching databases for articles, citing sources, using ILLiad to request books or articles, etc.)

Compare and contrast examples of visualizations and analyze the impact of them based on audience effectiveness.

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Overview: With the advancement of technology, data visualization is becoming more common and expected for consumers of information. The industry is
moving fast with new tools that offer different ways to present and interact with data. It is important for a data analyst responsible for building visualizations to
have an understanding of different tools and ways to present information. In this assignment, you will review data visualizations from the chair of a data
consumer. The ability to understand how data is consumed is very important to be able to design effective visualizations.
Prompt: In this task, you will compare and contrast examples of visualizations and analyze the impact of them based on audience effectiveness. To complete this
assignment, you will visit Tableau Public Gallery and SAS Visual Analytics Interactive Demos to browse and review different visualizations. Take the time to
review and interact with at least 5 samples for each of the sites (for a total of 10).
SAS Visual Analytics
Tableau Public Gallery
Include the following critical elements:
• Visualization PresentationComparison
o As a consumer of the visualizations, compare and contrast the SAS and Tableau presentation layers. Use the following suggestions to guide your
evaluation:
▪ How are they the same? How are they different?
▪ Which presentation features do you like and why?
▪ Which presentation features do you dislike and why?
Reference the 10 or more visualizations you reviewed to support your position.
• Analysis of Effective Visualization Examples
o Provide at least one visual from each tool that is a good example of presenting information to an audience. In your analysis, provide proper
reasoning for how each visualization is effective and describes the information being conveyed to the identified audience.
• Analysis of Ineffective Visualization Examples
o Provide at least one visual from each tool that is an example of presenting confusing information to an audience. Explain why the visual is
confusing, and identify what could be done to correct the visualization so it properly conveys the intended information to itsaudience.
Rubric
Submission Guidelines: Submit a Microsoft Word document including your written description and screenshots of your two visualizations.

Briefly describe what the author hopes to convey, and explain why the visualization is misleading.

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Covid19

Search online for a misleading statistical visualization. Post the link, briefly describe what the author hopes to convey, and explain why the visualization is misleading.Why is the misleading visualization a problem?
Can you find a visualization that tells a more accurate story?
Is it okay to exaggerate a visualization for effect?
Suggest at least two modifications that would improve the visualization.
What makes a good visualization?

Explain why the figures they presented made it clear what they were presenting or what the results were.

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We have often read studies that attempt to explain a phenomenon to us in text or using statistical language, but we can likely understand complex studies more clearly using clear data presentation techniques. Find a study published in a peer-reviewed journal (that is not funded by the government, hint: search on PubMed to start) and explain why the figures they presented made it clear what they were presenting or what the results were. Please use AMA citation and also this must be a minimum of 200 words.

Discuss and design visuals, considering the recommended method of delivery for each audience. Critical Elements:

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Overview: This assignment, requiring background and audience analysis, is the first milestone for the final project. To complete this assignment, you will analyze
who the audience is to determine what type of data visualization will create the most impact and provide the most information.
Prompt: Scenario: You are working as a data scientist contracted to create visualizations for your state’s government. The state government has asked you to
develop three specific data visualization solutions. Please note that you select any state available in the source data.
• The state budget office has asked for a PowerPoint presentation to be given regarding storm activity with the goal of establishing a monetary reserve and
allocating stand-by emergency resources in areas where they are needed most within the state.
• The state’s emergency management agency (EMA) group has asked for an interactive dashboard they can utilize to analyze storm damage data for the
purposes of risk assessment, allocating stand-by emergency equipment/resources, and responding to media inquiries regarding damage estimates during
and after weather events. For the purpose of this assignment, we will assume the interactive dashboard’s underlying data is automatically updated as new
events are entered.
• The state would also like you to draft a pamphlet/web page with storm safety information for members of the public. This pamphlet/web page should
include some interesting visualizations and statistics to engage the intended audience and reinforce the importance of preparedness in the event of severe
weather events.
You will use the recommended visualization tools to create visualization styles appropriate for the different audiences. Recommended tools include
QlikView, Tableau, Excel, and Power BI
You will discuss and design visuals, considering the recommended method of delivery for each audience.
Critical Elements:
To complete this assignment, your submission must address the following critical elements:
I. Background and Audience Analysis
A. Provide the background information regarding the given situation and data set(s), and determine the overall message/information you will need
to convey. What is the research question/problem to be addressed based on each of the state’s requests? Is the available data sufficient to
deliver the intended message? Are there any issues with uncertainty in the dataset that might influence the analysis?
B. Compare and contrast the needs and sophistication of the target audiences (state budgetary office leadership, emergency management
personnel, and members of the public).
i. How will the overall message change for each audience?
ii. How familiar will each audience be with the issue at hand and with any specific terminology?
iii. How will things such as educational levels, age levels, primary language, cultural diversity, and so forth vary among your target
audiences?
C. Provide a brief explanation of why the recommended presentation methods are most appropriate for each audience. Be sure to include
communication objectives and considerations of the target audience.

Write a 2- to 3-paragraph response analyzing how the changes impact the variability and context compared to your Module One visualizations.

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Overview: In this module, you learned the importance of how understanding the data variability, uncertainty, and context are crucial to interpreting data. In this
assignment, you will manipulate visualizations you completed in the first module and describe how variability, uncertainty, and context affect the interpretation
of the specific data presented.
Prompt: Using the Google Public Data data set and two audience-specific visualizations created in Module One, adjust the x axis, y axis, and/or visualization style
to illustrate changes in context and variability. Write a 2- to 3-paragraph response analyzing how the changes impact the variability and context compared to
your Module One visualizations.
Go to Public Data and access the Module One data set.
Include the following critical elements:
 Visualizations
o Using the available data and tools, modify the original Module One plots, graphs, etc., for each identified audience:
 Change the x axis, y axis, and/or visual style of each visual to change context and variability.
 Variability, Uncertainty, and Context
o Compare the Module One visual to the changed visual, and include how each of the visuals’ messages have changed overall.
 Include discussion of how the variability, uncertainty, or context changed the information communicated from the Module One visual to
the new visual.
 Data Visualization Methods
o Provide an explanation of how each change improved or distorted the information for each audience.
 Explain the importance of appropriate use of variability, uncertainty, or context in visualizations

Write a 1- to 2-page report regarding your overall experience with QlikView and provide a brief comparison to Google Public Data.

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Write a 1- to 2-page report regarding your overall experience with QlikView and provide a brief comparison to Google Public Data.
Submit the exercise question answers and report as a single document.