Stephanie Shishis: Sampling Assignment-1 Completed

[StephanieShishis]

UofT-DSI | Sampling - Assignment 1

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

I ran the code and assessed the different sampling stages in the simulation, tested how changing the number of repetitions in the simulation (for example 10, 100, 1000) affected the results, and also implemented the random seed function to create reproducible output.

What did you learn from the changes you have made?

Through running the code multiple times and seeing visually what happens, how only running a simulation a few times give really inconsistent and unreproducible results. I learned it is important to run a simulation an adequate number of times to get more stable and consistent results.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Maybe one different approach would be putting the random seed into the simulation function itself rather than at the top.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

The biggest challenge was remembering all the content from the lectures. I had to refer back to my notes a few times to remember the types of distributions.

How were these changes tested?

I ran the code multiple times and checked the histogram results to see if the results were consistent.

A reference to a related issue in your repository (if applicable)

N/A

Checklist

• [YES] I can confirm that my changes are working as intended

[PatelVishakh]

Assignment 1:Complete! Strongly Recommend changes:

⚠️ 1. Note all the stages breakdown is:
Stage 0: Setup i.e. pd.Dataframe
Stage 1: Infecting random subset
Stage 2 Primary Contact
Stage 3: Secondary Contact
✅ Good description of each mentioned Stage.
✅ Good Takeaway about the simulations with 10 and 100.
✅ Simulation is Reproducible.

Vishakh Patel[LS]