[SOLVED] DATA2902 Assignment

The first assignment is a report based around the survey data we collected in class. The raw data can

be downloaded here and the original format of the survey can be found here.

You should write your findings in a report style, as if you were analysing a data set for a client. The client is not a statistician, but they are interested in the details of your work.

You will submit an document compiled using Quarto or R Markdown with enabled so that your client can see ALL the code you used. However, your report should not rely on the client understanding your code – the text should communicate everything that the client needs to know.

To help you think about thi might want to check the de have a good understanding

All of the standard writing expec Writing page.

You can work on this in you own report. Your tutor can

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writing see the Study Skills –

II need to submit your

If you only submit a . qmd O

must be a . html file.

bmission to Canvas

As this is a short release assignment no simple extensions will apply.

The questions outlined in Section 2.1 and Section 2.2 need to be addressed in the report.

You should address these questions in the section of your report.

1. Is this a random sample of DATA2X02 students?

2. What are the potential biases? Which variables are most likely to be subjected to this bias?

3. Which questions needed improvement to generate useful data (e.g. in terms of the way the question was phrased or response validation)?

   FYI there are 675 students in DATA2002 and 84 students in DATA2902.

   You should address these questions in the

   section of your report. The report will be more compelling if

   you can articulate a connection between the questions you select so that the report feels like a coherent body

   of work (rather than three unrelated tests).

   

   Identify questions you can answer from the data and perform a hypothesis test for each question. The hypotheses should be of the same form as what we have covered in lectures. Give a motivation for why you selected these questions Be sure to report the hypothesis testing workflow, interpret the results and mention any limu may have mentioned

   

   this in general terms in the

   There needs to be some va

   • at least one test from

   • at least one test from

     

   • at least one test needs

     902 resources

     

     Additional requirements fo

     

   • Guide on importing an

   • Report writing guide

Io or permutation test).

page.

The two guides above provide essential information on how to succeed in this assessment task. You should read them carefully as you go about writing up your report. You can use and adapt the code from the guide on importing and cleaning the data in your report, just make sure you reference appropriately (see the bottom of the guide for an example of how to cite it).

See also the DATA2x02 policy on AI use.

The following YAML code can be used to make sure you meet the minimum criteria. The self contained and code folding options are particularly important.

If your file ends in . qmd you can adapt this:

If your file ends in . rmd yo

title: “Your title here date: ” ” r Sys . Date ( ) ” ” autho r: “You r SID (don * output:

htmI_document :

set f_conta1 ned : t ru code_foId1 ng: hi de code_down load : true toc: true # (Optlon toc_fIoa t : true # t number_sect i ons: t r

ymous marking policy)

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You should review and follow the advice in the guides above, but at a minimum, before submitting your report, check the following points:

Q Your assignment submission needs to be a that you have compiled using R Markdown or Quarto. upload the rmd or qmd file (i.e. the code file).

You use code folding (so we can see your code) and specify that the HTML file is self contained (otherwise all the formatting and images won’t be sent to Canvas). Using code folding is also super handy to use as a check if your report is well written – your report should make sense and provide all the relevant information in the text when the code is hidden. Don’t rely on the reader to

understand your code. Also a good idea to enable code—tools (quarto) or code_downToad (R Markdown) particularly if you use inline R chunks to enhance reproducibility.

Think about how your report is structured (e.g. introduction, results, conclusion).

Is there sufficient text explaining what is being presented or are you relying on the reader being able to understand and interpret the code and R output? Any output that you include needs to be explained in the text of the document.

0 Is it well presented (e.g. no unnecessary warnings or messages showing up)? If your code chunk generates unnecessary output, you need to suppress it using the chunk options.2

Are your figures and tables discussed in the text? A graph doesn’t speak for itself. See details on how to cross reference figures and tables in Quarto here.

Have you included sufficient and appropriate ? This includes software, data, and other reference material. Examples of how to cite with Quarto here.3