UofT-DSI | sampling - Assignment 1

[hayun120]

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

I completed assignment 1 by inspecting the script to answer questions re sampling, and also modified the code to make it reproducible by setting a fixed random seed before running the simulation.

What did you learn from the changes you have made?

I learned how to identify different sampling functions and underlying distributions. I also learned that reproducibility is sensitive to sample size - with only 10 or 100 repetitions, results varied more substantially across runs due to the high variability of smaller samples.

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

N/A

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

The main challenge would have been deciphering where to place the 'np.random.seed'. Placing it inside the simulate_event() function resets the generator on every iteration, causing all 1000 simulations to produce identical results. Placing it once before the results = [...] ensured the full sequence of simulations was seeded correctly.

How were these changes tested?

The modified script was run multiple times, and the output histogram was inspected to confirm the changes. The simulation was also tested at 10, 100, and 1000 repetitions as instructed to verify consistent output at each level.

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

N/A

Checklist

• I can confirm that my changes are working as intended

[namraschazil]

Great work. Pass!
Overall a carefully executed assignment with adequate reasoning provided for the stages of sampling.

[namraschazil]

Great work. Pass!
Overall a carefully executed assignment with adequate reasoning provided for the stages of sampling.