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+# README for Group Assignment 1.8
+
+*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): Week 1.8, Friday, Oct 25, 2024.*
+
+GA 1.8 investigates the effect of dependence by applying multivariate distributions to the data sets from the previous assignment, GA 1.7.
+
+There are several files to be aware of:
+
+1. `README.md`
+2. 3 subdirectories containing the files for each of the 3 data sets, containing the "usual" files (`Analysis.ipynb`, `Report.md` and `*.csv`)
+
+First, you should **choose a dataset** to use for GA 1.7. We recommend using the same thing you did last week, but you are welcome to switch if you like. See the README for GA 1.7 for a refresher on the context.
+
+It might be useful to start out by adding your notebook from last week to your repository (copy/paste > commit > push!).
+
+Note that the Report lists specific distribution that you should choose from, which are unique for each data set; **read the Report to see which distributions you should choose from!**
+
+As in previous weeks:
+- complete the analysis in `Analysis.ipynb` then answer the questions in `Report.md` (but some group members can start working on the Report in parallel!).
+- Markdown cells in the notebook are primarily for your own benefit; answers in the Report are more important. 
+
+When **submitting your assignment** make sure your `Analysis.ipynb` and `Report.md` files are in the root directory of the repository (i.e., in the same folder as this README file).
+
+## Task Overview
+
+We recommend leaving around 45-60 minutes at the end of the session to work on the Report.
+
+Many of the tasks in the notebook, as well as some of the Report, can be completed independently, here are a few tips:
+- Inspect the data together and write down a few observations that you all agree on. This will become your first answer in the Report.
+- You can split up and implement the code needed for many of the notebook tasks (some of the code from the WS will be useful to recycle).
+- Once the analysis is complete, meet with **all* group members and observe the results, then decide on the "best" distribution (write down a few reasons to add to the justification in the Report)
+
+If you are short on time, remember that it is more important to have answers in the Report than a completed notebook. Explain any issues you faced with the programming in your Report.
+
+**End of file.**
+
+<span style="font-size: 75%">
+&copy; Copyright 2024 <a rel="MUDE" href="http://mude.citg.tudelft.nl/">MUDE</a>, TU Delft. This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0 License</a>.
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