Prepare a company report outlining your analysis and findings.

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An online store asked you to help them forecast the demand for some of their products. Prepare a

company report outlining your analysis and findings.

The sales data for the first two products (P1 and P2) are weekly and data was collected until November 10, 2019. Products P3 and P4 are daily and might be related. For product P4, the company has provided potential explanatory variables X1 (price) and X2 (weather forecast of temperature in °C) that may be helpful for forecasting these two products. The sales data for products P3 and P4 was collected until November 24, 2019. Data for product P5 is weekly and was collected until August 30, 2019.

 

 

 

Use descriptive statistics to describe the variables both numerically and graphically.

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  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 this school; 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:

  • Achool in which you are enrolled
    • Arts and Sciences
    • Applied Science and Technology
    • Business and Management
    • Nursing
    • Public Service

What are the subjects of those reports and why do you think they would have the same analysis?

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Required Resources

Read/review the following resources for this activity:

  • Textbook: Chapter 12 (All Sections)
  • Lesson
  • Minimum of 1 scholarly source

Initial Post Instructions

Medical professionals can find relationships between variables. The more you drink alcohol, the less functionality of your liver. The less carbohydrates a person intakes, the lower their Body Mass Index.

Data can be collected and organized as an ordered pair (x, y). The data can be analyzed to determine the type and strength of a correlation and to calculate a regression line in order to make a prediction.

Use the internet to find a data set of ordered pairs. Key terms to search: Free Public Data Sets and Medical Data Sets.

Create a Post:

Introduce your Data Set and Cite the Source.

  1. Which would be the independent variable, and which would be the dependent variable?
  2. Without drawing a scatter plot, would you expect a positive, negative or no correlation? Explain.
  3. Would you categorize your data to have a strong or weak correlation? Why?
  4. What would the r2value tell you about the data that you selected?
  5. What is the equation of the regression line?
  6. Use the regression line to make a prediction about the data you collected.

Follow-Up Post Instructions

Respond to at least two peers or one peer and the instructor. Further the dialogue by providing more information and clarification.

Here are suggested responses.

  1. Review the data of a peer. List the parts of the analysis that you agree with and why. Ask one clarifying question.
  2. Compare the analysis of two pieces of data until you find two that have a similar report. What are the subjects of those reports and why do you think they would have the same analysis?

 

Justify the rationale for selecting one or more of these visualizations to tell a “story.” What aspects of the visualization are uniquely suited to the use of this method?

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For this assignment, you will have three deliverables:
1. A summary of your data
2. Two visualizations of your data
3. Justification for the type of visualizations you chose
Part I – Data Summary:
Summarize your data through basic or detailed numeric summaries and through a characterization done by looking at any or all of the following:
 Distribution
 Skewness
 Kurtosis
 Missing values in data sets
As part of your summary, describe how the statistics generated may be valuable in determining potential areas of investigation.
Part II – Visualizations:
Choose two different visualizations using any of the methods learned in Section 5.1. You must provide two visualizations (by screenshots) of the data set you chose in Module Two.
Part III – Justification of Visualizations:
From Data Mining With R and Rattle: The Art of Excavating Data for Knowledge (p. 99):
Through exploring our data, we can discover what the data looks like, its boundaries (the minimum and maximum values), its numeric characteristics (the average value), and how it is distributed (how spread out the data is). The data begins to tell us a story, and we need to build and understand that story for ourselves. By capturing that story, we can communicate it back to our clients.
Justify the rationale for selecting one or more of these visualizations to tell a “story.” What aspects of the visualization are uniquely suited to the use of this method?

Guidelines for Submission: Your submission should follow these formatting guidelines: double spacing, 12-point Times New Roman font, one-inch margins, and
citationfkts, if any, in APA format when appropriate.

What is the potential value of developing a predictive analytic strategy for the organization?

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Develop the predictive analytic question and analytic plan. Then describe how that strategy will help solve a specific issue within the organization, and try to characterize the specific value that will be achieved. Address the following:
Organizational Background
What is the potential value of developing a predictive analytic strategy for the organization? In other words, how would development of a predictive analytic strategy help the organization?
Guidelines for Submission: Your paper must be submitted as one- to three-page Microsoft Word document with double spacing, 12-point Times New Roman font, and one-inch margins. Any citations must be formattfkted according to APA style.

Describe the ERM tools that theoretically best support the Company XYZ’s programs, policies, and strategies, and explain why you ultimately chose the ones you recommended.

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Overview: Many enterprise risk management (ERM) tools are available, but not all of them are appropriate for every organization. Research and find three ERM
tools. Describe the ERM tools that theoretically best support the Company XYZ’s programs, policies, and strategies, and explain why you ultimately chose the
ones you recommended.
Prompt: What supporting evidence or documentation exists to describe these ERM capabilities and organizational support? You are to evaluate each ERM for its
suitability for Company XYZ and compare and contrast each against the others based on the strengths and weaknesses of each.
Evaluate each ERM for its suitability according to the following critical elements:
1. Recommendations
Recommend risk assessment and management tools that are appropriate for the organization’s background and its risk assessment and management
goals.
2. Defending Recommendations
Many ERM tools are available, but not all are appropriate for every organization. Describe the ERM tools that best support the organization’s programs,
policies, and strategies, and explain why you ultimately chose the ones you recommended. What supporting evidence or documentation exists to
describe these ERM capabilities and organizational support?
Guidelines for Submission: This submission must be one to two pages in length and must use double spacing, 12-point Times New Roman font, and one-inch
margins. Citatiofktns must use APA format

Assess Validity Threats of Qualitative Research Designs

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Assess Validity Threats of Qualitative Research Designs

How would these visualizations help “make the case” for your proposed research?

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From the qualitative data source that you selected in Unit 5, use NVivo to create some basic visual diagrams of the information relevant to the research topic in your mini-proposal. The NVivo on-demand webinar below is particularly helpful with this task:

Assume that you are including some fundamental visualizations as support for the problem statement and rationale for your study. How would these visualizations help “make the case” for your proposed research? Submit your narrative as a 500-word (minimum) narrative essay in APA format. Be sure to include the relevant diagrams in your submission.

Produce a critical evaluation of the processes of talent identification considering theoretical models and real world applied applications.

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This assessment is designed to allow students to consider the relative strengths and weaknesses of talent identification programmes. The aim of the assessment is to produce a critical evaluation of the processes of talent identification considering theoretical models and real world applied applications.

Write your own statistical analysis paper on a topic of your choice following the outline below.

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The project is to write three separate papers where we are integrating reading, writing and mathematics.
General Instructions:
A. This assignment is mandatory. It is 5% of your grade.
B. Due Thursday, Dec. 10th. This assignment will not be accepted after the due date.
C. This project is to write three separate papers. These papers are academic papers.
1
Do one exercise from the HOMEWORK 12.5 section in chapter 12: Exercise 67, or 68 or 69.
2
Do one assignment from the Inquiry – Problem Solving list.
3
Write your own statistical analysis paper on a topic of your choice following the outline below.
D. Presentation of the papers: The project is to write three separate academic papers.
You need to do the following:
•
Do all the calculations, tables and graphs. If you are doing the graph by hand, you need to use graph paper, a ruler, labeling all parts of the graph explicitly.
•
Answer/respond all questions in essay form. at least one paragraph, in complete sentences. The more details you give, the more complete your answer/response.
◦
Explain in detail all your findings.
◦
Type the paper double space. Handwritten papers will not be accepted.
◦
Apply APA or MLA standards for writing and citation of sources.
▪
Apply all the English composition rules you learned in ENG 101 and ENG 102! Make your English professor proud. As with anything you write in life, spelling, grammar and sentence construction counts.
▪
Contact the Writing Center for help if needed.
◦
Become very familiar with the grading rubric before you start writing your papers. The grading rubric is attached. It shows you how the project will be evaluated. The rubric for this project is on pages 3 and 4 of the attachment: Inquiry and Problem Solving.
For your topic paper, you need to:
•
Find a statistical analysis article dealing with your chosen topic. Ideally, you should select a statistical analysis article of a topic you are really interested in.
•
Read and statistically analyze the article. This assignment demands and requires a lot of reading and analysis, so you have to enjoy the topic to be willing to do all that work. Otherwise, the assignment will be very difficult for you.
•
Respond to the article. The bottom line is that you need to critically analyze and respond to the study’s reported content and results.
•
Become very familiar with the grading rubric before you start writing your topic paper. The rubric is attached. It shows you how the paper will be evaluated. The rubric for your topic paper in on pages 3 and 4 of the attachment: Inquiry and Problem Solving.
GRADING_RUBRIC_pgs.3and4.pdfOpens externally
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•
Consider the following items and respond in essay form, in paragraph form , in complete sentences:
◦
Why did you select this topic?
◦
Identify the goal of the study.
◦
Identify the population.
◦
Identify the type of study.
◦
Explain who conducted the study.
◦
Explain who funded the study.
◦
Explain what is a biased sample.
◦
Discuss the sample in the study.
▪
Explain whether or not there is bias in the sample created for the study.
▪
Create a sample for the study if a sample was not used.
◦
Define the variable(s) in the study.
◦
Explain how the variable(s) are measured.
◦
Explain the graphs in the article.
▪
If the article does not have graphs, create at least one for it.
◦
What are the confounding variables present in the study.
◦
Explain why the results are presented fairly/unfairly.
◦
Explain the study’s conclusion.
▪
Explain why the conclusion make sense/does not make sense to you.
▪
Explain why the results have practical significance.
◦
What did you know about the variable(s) investigated in the study before you read the article?
◦
What surprised you the most?
◦
What surprised you the least?