Skip to content

adelatorre2/assignment_5_ALDT

Repository files navigation

Assignment 5 – MT220-01: Introduction to Probability and Statistics

This repository contains the complete files and scripts for Assignment 5 of the MT220-01 course at IES Abroad (Spring 2025), submitted by Alejandro De La Torre. The assignment explores statistical estimation techniques including confidence intervals, analytical probability evaluation, and exponential distribution modeling.

📁 Repository Structure

assignment_5_ALDT/
├── report/
│   ├── assignment_5_writeup.tex          # LaTeX write-up file for submission
│   ├── figures/                          # Plots and figures generated in R
│   ├── tables/                           # Tables generated from analysis
│   └── Intro_Stats_Prob.pdf              # Course textbook reference
├── assignment_5.R                        # R script solving Problems 1–5
├── weight-height.xls                     # Dataset used for Problem 1
└── README.md                             # Repository overview and instructions

🧠 Assignment Topics

  • Confidence intervals assuming known variance
  • Normal distribution assumptions and inference
  • Probability calculation from cumulative distributions
  • Analytical determination of required sample size
  • Exponential distribution properties (pdf, mean, variance)

🔧 How to Use

To reproduce the full analysis:

  1. Open assignment_5.R in RStudio or VS Code.
  2. Set the working directory to the root folder (assignment_5_ALDT/).
  3. Run the script top-down to compute and print answers for Problems 1 through 5.
  4. Visualizations and supporting output are saved into report/figures/ and report/tables/.

To compile the written report:

  1. Open report/assignment_5_writeup.tex in Overleaf or a local LaTeX editor.
  2. Incorporate console output and plots from the R script.
  3. Compile the document to a final PDF for submission.

📌 Author

  • Alejandro De La Torre
  • MT220-01, Spring 2025
  • IES Abroad Barcelona

📝 License

This work is intended for academic coursework. Not licensed for commercial reuse.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published