Question: Please can I get some help with my Math Project. Structured External Assignment: Project with Presentation MAT308/MAT312 Statistics Purpose: The Structured External Assignment gives you

Please can I get some help with my Math Project.

Structured External Assignment: Project with Presentation

MAT308/MAT312 Statistics

Purpose: The Structured External Assignment gives you the opportunity to apply and master the following objectives. (WU Graduation Competencies).

  1. Identify, select, and use sampling collection techniques. (Make Decisions and Problem Solve)
  2. Identify and classify variables.
  3. Transform data into visual forms that clearly "tells a story" to the end-user using Excel. (Information and Technology).
  4. Calculate and discuss descriptive statistics using Excel. (Information and Technology).
  5. Analyze and solve complex, real-world problems using statistical methods, specifically by using hypothesis tests. (Information and Technology, Make Decisions and Problem Solve).
  6. Communicate methodologies and analyses effectively for diverse professional contexts. (Use Oral and Written Communication).

Process: The Structured External Assignment is a multi-step project that you will work on in the second half of the semester. It consists of five parts: topic selection, proposal, data collection, presentation, and written report. Your chosen topic will be the central theme for all subsequent parts of the SEA. Each part of the SEA builds on the previous part. Therefore,it is in your best interest to complete each part on time, using your instructor's feedback from the previous part to inform the next part.

Topic (10 points):Select a topic that interests you; then create a unique research question you want to answer about your topic using a hypothesis test we will study in this course. (Consider the chart on the next page to identify an appropriate hypothesis test for your project. Students in MAT308 do not study ANOVA, while students in MAT312 do study ANOVA). Keep in mind that you must be able to collect data to answer your question. Data must be collected from publicly available, reliable internet sites or from a survey that you have created. Experiments on humans or animals are not permitted. (Students who are repeating the course must select a new topic).

You may find it beneficial to develop your topic by reviewing available data on the following websites: Trading Economics, US Bureau of Labor Statistics, US Census Bureau, Centers for Disease Control and Prevention, Office of Homeland Security, American Progress (type data in search bar), Our World in Data, AAA, ESPN, MLB, NBA, NFL, etc. Proposal:Your proposal must be submitted to Canvas as a Microsoft Office Word document. It must address the following items.

  1. Statement of research question and rationale. State your research question. Then provide a rationale for your research question. For example: How could answering your research question impact you, other students, coworkers, society, etc. How does answering this question add to research that has already been completed on this topic? (You may want to research your topic to provide a solid rationale.)
  2. Statement of variables. In statistics, variables are the categories or groups you are studying. You will need to specify and classify your variables. For example, if you are comparing incomes between men and women, your variables are quantitative/continuous (income) and categorical/nominal (gender). If you are comparing quarterback completion rates, your variables are quantitative/continuous (completion rates) and quantitative/interval (years).
  3. Statement of population and sampling method. State your population, that is, the larger group from which you are drawing your sample. For example, perhaps your overall population includes incomes for men and women from the United States, but your convenience sample consists of data from work colleagues that you surveyed. Or perhaps your overall population includes all NFL quarterback pass completion rates, but your systematic sample includes quarterback pass completion rates from every third quarterback listed in alphabetical order for two specific years.
  4. Data Visualization. What graph will best display the spread, outliers, measures of center and measures of dispersion for your graph? You want your graph to "tell the story" about your data to your audience. Provide a rationale for your selection.

Rubric for Project Proposal:

CategoryExemplaryDeveloping Beginning Missing
Research question and rationale.Question and rationale are both clearly stated. (25)Question needs to be reworded or rationale needs more detail. (18.75)Question needs to be reworded and rationale needs more detail. (12.5)0
Variable ClassificationVariables are correctly stated and classified. (25)Variables are stated but need to be reclassified. (18.75)Variables are not correct. Re-identify variables and classify them. (12.5)0
Population and Sampling MethodPopulation and method of collecting data clearly stated. (25)Population or sampling method need clarification. (18.75)Both population and sampling method need clarification. (12.5)0
Data VisualizationThe selected graph will clearly tell the story. Clear rationale provided. (25)

The selected graph will clearly tell the story. The rationale for the selected graph needs to be clarified. (18.75)

The selected graph will not clearly tell the story. The graph selections and rationale must be revised. (12.5)

0

Data Collection:Your data collection must be submitted to Canvas as an Excel spreadsheet and a Microsoft Word document. It must address the following items.

  1. Chart: Provide your original data in chart format.
  2. Data Visualization: Create a graph that clearly displays your data using Excel.
  3. Descriptive Statistics. Create a table of descriptive statistics for your data using Excel. If the descriptive statistics are not available for your data set (tests for proportions and Chi-square tests), include all important pieces of information such as proportions and/or observed and expected values.
  4. Sources:Provide an APA citation for your data. Examples of APA citations for websites can be found onScribbr. If you created a survey or collected your own data, use the "citing data from a survey" example. Provide the link to your survey.
  5. Data Analysis:What comparisons do you want to make with your data? Consider the chart on the previous page and select a hypothesis test that will help you make these comparisons. Provide an explanation for the hypothesis test that you selected.
  6. Sampling Bias: What type of bias might your research contain based on your sampling method? What limitations could result?

Rubric for Data Collection:

CategoryExemplaryDeveloping Beginning Missing

Chart

(In Excel)

Data clearly organized in well-labeled chart. (15)Data provided, but labels need revision. (12)Data needs to be organized and/or labels need to be added. (6)

Missing or chart is not created in Excel.

0

Data Visualization

(In Excel)

Excel-generated graph is appropriate for the data and is well-labeled with title and axis labels. (20)Either the graph is not appropriate for the data, or the labels need to be revised. Graph is created in Excel. (16)Either the graph is not appropriate for the data and the labels need to be revised. Graph is created in Excel. (8)

Missing or graph is not created in Excel.

0

Descriptive Statistics

(In Excel)

Descriptive statistics are accurately generated in Excel with appropriate headings and column sizes. (15)Descriptive statistics are accurately generated in Excel but are missing appropriate headings and/or column sizes. (12)Descriptive statistics are not accurately generated. (6)Missing or Excel is not used. 0

Sources

(In Word)

Data sources are properly cited, or survey link is provided and functional. (15)Data sources are not properly cited. (12)Data source or survey link is not functional. (6)

Missing

0

Data Analysis

(In Word)

Appropriate hypothesis test selected with rationale. (20)Appropriate hypothesis test selected but rationale must be revised. (16)Hypothesis test and rationale must be revised. (8)

Missing

0

Sampling Bias

(In Word)

Sampling bias and limitations correctly addressed. (15)Either sampling bias or limitations need to be revised. (12)Both sampling bias and limitations need to be revised. (6)

Missing

0

Presentation:Create a video in Zoom that clearly, effectively, and professionally provides an overview of your SEA. (Instructions for creating a Zoom video are provided in Canvas). Your video should include your image as you share a PowerPoint you have created. Use your Proposal and your Data Collection to help create this assignment. The PowerPoint must be a stand-alone, professional document. While it may contain copies of graphs that you created in Excel, it cannot simply be slides created from another part of the project. Your presentation must be between 4 and 6 minutes long.

Slide 1: Research Question and Rationale.Display and state your research question. Then provide a brief rationale for your question.

Slide 2: Sampling Method.Discuss your population and sampling method. Explain how you gathered your data. Could your data contain any bias or limitations? If so, why? (For example, surveys are dependent on volunteer responses, thus they could contain bias. Also, small sample sizes or samples drawn from very specific subgroups could have limited generalizations to the overall population.)

Slide 3: Data Visualization.Share the graph that you created. Discuss outliers, shape, and any other items of significance displayed in your graph.

Slide 4: Descriptive Statistics.Calculate and compare measures of center, that is, mean, median, and mode; measures of dispersion, that is, standard deviation and range; and discuss what these measures imply about your data.

Slide 5: Justification. Provide a justification for the hypothesis test that you will use. Why is this hypothesis test appropriate for addressing your research question? Include a statement regarding the classification of your variables.

Slide 6: Analysis. Identify your null and alternate hypotheses, calculate the critical value, test statistic and p-value. Use these items to provide a justification for your conclusion.

Rubric for Presentation:

CategoryExemplaryDevelopingBeginningMissing
Research Question and RationaleQuestion and rationale are both clearly stated. (10)Question needs to be reworded or rationale needs more detail. (8)Question needs to be reworded and rationale needs more detail. (6)0
Sampling MethodPopulation and method of collecting data clearly stated and explained. (10)

Population or sampling method need clarification. (8)

Population is missing and the sampling method is unclear or not appropriate for the research question. (6)0
Data VisualizationThe graph is appropriate for the data and is well-labeled. (10)Graph is either not appropriate for the data or needs revised labels or discussion of statistics needs to be revised. (8)The graph is not appropriate for the data and the statistics discussion is not accurate. (6)0
Descriptive StatisticsAccurate calculation and comparison and implications of statistics. (10)Accurate calculation of statistics. Errors in comparisons and implications of statistics. (8)Errors in calculation and discussion of statistics. (6)0
Justification

Clear rationale provided for hypothesis test, including classification of variables. (20)

Rationale needs more detail or needs to include classification of variables. (15)

Rationale needs more detail and classification of variables must be discussed. (10)0
AnalysisAccurate hypotheses. Clear and accurate level of significance, critical value, p-value and test statistic. Accurate conclusion with justification. (30)One of the following needs revisions: Hypotheses, or statistics or conclusion. (20)Two or more of the following needs revision: Hypotheses, or statistics or conclusion. (10)0
PresentationCommunication clearly and professionally presented research and evidence for the target audience, using required tools. (10)Communication needs clarification regarding research or evidence, or the needs of the audience need to be considered. (8)Communication is not clear or professional. Aspects of research or evidence are missing. (6)0

Written Report:Create an original, well-organized, summary report for your SEA. You must submit a Microsoft Office Word document to Canvas, which will be checked by Turnitin for plagiarism and AI use. While AI may be beneficial to improve the quality of your report, you are expected to write the report yourself. Consider your Proposal, Data Collection, and Presentation, along with your instructor's feedback, to complete your paper. Double-space and use 12-point, sans-serif font, such as Arial, Helvetica, or Trebuchet MS. Please review the Academic Integrity Policy provided below.

If you choose to use AI, please follow these instructions:

  1. Type the following prompt into Copilot: Please review the attached document, then provide suggestions on how to improve my writing. Click the paperclip symbol and submit your first draft to Copilot. Then click the blue arrow.
  2. Copy the feedback you receive from Copilot into a Microsoft Word document. ("Copy" is the third icon below your feedback.)
  3. Read through Copilot's feedback and make appropriate revisions to your first draft. Provide a reference for Copilot on your reference page (see below).
  4. Submit your first draft, the Copilot feedback, and your final draft to Canvas.

Cover Page:The following information should be centered on your cover page: The Title of Your Paper, Your Name, Wilmington University, Course Name, Submission Due Date.

Section 1: Introduction:State your research question and your rationale for your topic. Discuss your population and sampling method.

Section 2: Data Discussion. Place your graph and charts in your document. Discuss outliers, shape, measures of center (mean, median, mode), measures of dispersion (range, standard deviation), and other items of significance (displayed in your graph or descriptive statistics). Original data must be provided.

Section 3: Data Analysis.State the hypothesis test you used, along with a justification for using that hypothesis test. State your null and alternate hypotheses. Discuss the level of significance, critical value(s), test statistic(s) and p-value for your hypothesis test.

Section 4: Conclusion.Explain the answer to your research question making references to your data analysis. Discuss any limitations that you noticed about your sampling methods, or any confounding/lurking variables that limited your conclusions. If you were to study this question again, what changes might you make to address your limitations and why?

Section 5: References. Provide correct references for all resources used in your report. Proper citations should be provided within your paper. If you used AI, provide an AI citation using the sample format below (be sure to use the current year):

Microsoft Copilot. (2024). Microsoft Copilot: An AI language model. Retrieved from [URL].

Rubric for Written Report:

CategoryExemplaryDevelopingBeginningMissing
IntroductionQuestion, rationale, population, and sampling method thoroughly explained. (10)One of the following needs to be clarified: Question, relevance, population, sampling method. (8)Two or more of the following need to be clarified: Question, relevance, population, sampling method. (6)Two or more items are missing (0).

Data Discussion:

Data Visualization

Data skillfully converted into well-labeled charts and graphs that accurately reveal relationships among variables. Original data is provided. (10)Data converted into charts and graphs that accurately reveal relationships among variables. Original data is provided. Labeling needs to be revised. (8)Data converted into charts and graphs that accurately reveal relationships among variables. Original data is provided. Labeling needs to be revised and errors present. (6)Table and/or graph are missing OR are simply copied from another source OR original data is not provided. (0)

Data Discussion:

Descriptive Statistics

Descriptive statistics clearly and accurately provided in a chart. Outliers, shape, measures of center, measures of dispersion, and other items of significance accurately discussed. (10)

Descriptive statistics are provided in a chart, but some revisions are needed, or some descriptive statistics are not discussed. (8)

Descriptive statistics are provided in a chart, but some revisions are needed, and some descriptive statistics are not discussed. (6)

Descriptive statistics and/or discussion are missing. (0)

Data Analysis:

Hypothesis Test & Justification

Appropriate hypothesis test selected and justified. (10)Appropriate hypothesis test selected but not properly justified. (8)Appropriate hypothesis test selected but justification is not provided. (6)The hypothesis test is not appropriate or not completed. (0)

Data Analysis:

Hypotheses

Hypotheses appropriately stated. (10)Hypotheses need minor revision(s). (8)Hypotheses are not correct. (6)Hypotheses are not provided. (0)

Data Analysis:

Level of Significance, Critical value(s), Test Statistic(s), P-value

Level of significance stated, and critical value(s), test statistic(s), and p-value are all correct. (15)

Level of significance stated, but one of the following are incorrect: critical value(s), test statistic(s), and p-value. (12)

Level of significance stated, but two or three of the following are incorrect: critical value(s), test statistic(s), and p-value. (9)

Analysis is incorrect or not provided at all. (0)

Conclusion:

Research Question

Accurate conclusion provided for hypothesis test and research question answered using results of hypothesis test. (15)

Accurate conclusion provided for hypothesis test, but research question is not answered using results of hypothesis test. (12)

The conclusions were inaccurate. (9)Conclusions were missing. (0)

Conclusion:

Limitations and Revisions

Limitations and confounding/lurking variables clearly discussed. Revisions suggested to improve study. (10)

Limitations and confounding/lurking variables are not discussed, or revisions suggested to improve study are not provided. (8)

Limitations and confounding/lurking variables are not clearly discussed, and revisions are not suggested to improve study. (6)

Limitations and confounding/lurking variables are not discussed, and revisions are not suggested to improve study. (0)

CommunicationExceptionally well-written with attention to spelling and grammar. Sections clearly organized. Includes accurate cover page and references. References are real. (10)

Well-written; has three or fewer spelling and grammar errors. Sections clearly organized. Includes accurate cover page and references. References are real. (8)

Report is readable; has more than three spelling and grammar errors. Sections clearly organized. Has errors in cover page and/or references. References are real. (6)

The report is difficult to read, writing needs improvement, sections are not clearly identifiable, or references are not real. (0)

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