The assignment is to complete a data analysis project in R and document it in RMarkdown. The topic has to be selected by students, hypotheses are to be formulated, methods are to be described (data source, sample, measures, analysis), results are to be provided (descriptive statistics, hypothesis test) and lastly, the findings are to be discussed. Possible requirements of the project are R data cleaning, relevant statistical tests, figures, and tables. The final product is a manuscript in HTML format that exhibits proper formatting whereby the use of RMarkdown. Some of the criteria include how the code is executed, decision-making that took place in the analysis, and the way the final presentation is composed and whether it has a logical flow. Also, students have to make a recorded PowerPoint presentation of 5-10 minutes on the summary of the project with one slide per the report section.
Synopsis
The response would be an R Markdown document starting with the Introduction section followed by Hypotheses, Methods, the Results, and the Discussion sections, and R code for pre-processing data and analysis plus visualizations. The Results section would contain identification of tables, charts and the results of statistical tests with their explanation. According to Grant, Jenkins and Kunkel, the Discussion would situate results and respond to the limitations. The presentation would include a PowerPoint of the project including a brief one page for each of the main sections of the proposal and a final page with the more detailed findings. This approach shows the student’s capacity to design, execute, interpret, and present a complete research study utilizing both quantitative and presentation competencies.
One idea for studying internet availability and US house qualities is:
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