Data Analysis of Sample Data

aim of this project is to turn your project into a slideshow presentation (using RMarkdown) that you can include in an ePortfolio 1. Presentation title and group/individual details [Plain text]: You can add the title of your presentation and student(s) details by updating the “title” and “author” entries at the top of the R Markdown Template. 2. RPubs link information [RPubs link]: You can publish (optional and not compulsory) your presentation to RPubs (see here) and add this RPubs link to your presentation in this section. The online version of the presentation will be used for marking. Failure to submit your link will delay your feedback and risk late penalties. 3. Introduction [Plain text]: A good introduction provides a brief background to the problem, defines important terms, and leads to a strong rationale. 4. Problem Statement [Plain text]: State the overall problem/question driving the investigation. Summarise how you will use statistics to solve the problem or answer your question. 5. Data [Plain text]: If you collected your own data, explain how you collected your data. There should be enough detail here so that someone else could replicate your data collection. Explain the sampling method if known. Ensure you reference the data source if you have used Open Data. List and explain the important variables. Explain everything that you do to preprocess the data. 6. Descriptive Statistics and Visualisation [Plain text & R code & Output]: Summarise the important variables in your investigation. Use visualisation to highlight interesting features of the data and tell the overall story. Explain how you dealt with data issues (if any), e.g. missing data and outliers. 7. Hypothesis Testing [Plain text & R code & Output]: Apply an appropriate hypothesis test for your investigation. Ensure you state the hypotheses and check any assumptions. Report the appropriate values and interpret the results. 8. Discussion [Plain text]: Discuss the major findings of your investigation. Discuss any strengths and limitations. Propose directions for future investigations. This is a good place to re-state your findings as a final conclusion. What is the one take home message the reader should leave with? 9. References [Plain text]: Provide a list of any references you use in the presentation.