ENGSCI 211 2024 S1 – Data Analysis Assignment

This assignment requires you to conduct statistical analyses on three data sets.

Preparation and Submission Instructions

Each task should be prepared as a separate document and converted to a DOCX, HTML or PDF file, which should be submitted to the appropriate Canvas dropbox prior to the due date.  For each task, include your R code and output, and then your reports.

Clear and succinct communication is an important part of Engineering, regardless of specialisation.   We expect that you will write clear and concise English detailing your understanding of the analysis you con- ducted. In Executive Summaries, this means describing analysis in context, not using variable names, using units when known, rounding sensibly and not using technical language (e.g. p-value).

Most of the marks in each task are allocated to the Methods and Assumption Checks and Executive Summary. These must be consistent with your R output for credit.

For R code and output, please use a fixed-width font such as Courier New or Consolas.

You may wish to hand-write your Models and Assumption Checks and Executive Summaries. This is permitted as long as you merge your files such that only one file is submitted task.

There will be penalties for not following instructions!

Late submissions will be penalised per the policy on Canvas.

Rmarkdown / R Notebooks This is NOT compulsory.

You may use the method demonstrated in class / in recordings to publish your R Notebooks.  Note that Knit PDF only works if you have a LATEX distribution installed;  so knit to HTML or knit to Word will generally be the easiest methods.

It is completely acceptable to produce your assignment by copying and pasting R code and output directly into a word processor of your choice.

Academic Integrity

By submitting this assignment, you confirm that:

•  you understand the University’s policies on cheating, plagiarism and group work.

•  you declare that your submission is entirely your own work and reflects your own learning.

•  you have not allowed access to any part of the assignment to any other person.

We will be monitoring for academic misconduct and will not hesitate to investigate any suspected cases. Substantial penalties will apply.

In particular, do not send your files to ANYONE, not even to ‘compare answers’.  Once a file leaves your control it may be submitted by your ‘friend’ and leave you liable for misconduct.  University procedures considers both giving and receiving files as academic misconduct and both will be penalised, regardless of intent. There is no flexibility on this. YOU HAVE BEEN WARNED!

The use of generative AI, such as ChatGPT, to complete the assignment will be of little assistance and is therefore not permitted. You can expect to score very low if you use generative AI, and severe cases may be considered academic misconduct. You can use generative AI to help you understand the course material.

Assistance available

Ed Discussion is the best place to receive assistance from your peers and your lecturer. Do  not  leave questions to the last minute as Ed/emails may not be monitored in the final hours before the due time.  Office hours will be scheduled before the due date.