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UK Annual Population Survey Analysis (2021)

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Project Overview: A statistical analysis of the UK Annual Population Survey (APS) dataset to explore relationships between [Variable A] and [Variable B], accounting for survey response bias.

🎯 Objectives

  • Data Cleaning: Recoded complex categorical variables for meaningful analysis.
  • Statistical Testing: Implemented Chi-Square tests to determine the significance of the relationship between [Variable A] and [Variable B].
  • Bias Correction: Applied survey reweighting techniques to account for non-random response bias and missing data.
  • Visualization: Created publication-standard plots using ggplot2.

🛠 Techniques Used

  • Univariate & Bivariate Analysis
  • Hypothesis Testing (Chi-Square)
  • Confidence Intervals & Reweighting
  • Multidimensional Analysis (3-way cross-tabulation)

📂 Key Files

  • git.md - The full rendered report with graphs and interpretation.
  • analysis.qmd - The raw Quarto/R code.

Note: Data source: APS 2021 (Available via UK Data Service). Data not included in repo for privacy/licensing reasons

⚠️ Disclaimer for Students

This repository is intended for portfolio and educational purposes only. If you are a student currently enrolled in a similar module:

  1. Do not copy this code or report for your own assignment submission.
  2. Plagiarism detection software (e.g., Turnitin) indexes public GitHub repositories.
  3. Using this material for academic credit is a violation of academic integrity policies.

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A statistical analysis of the Annual Population Survey (APS 2021) using R. Includes Chi-square testing, reweighting strategies for bias correction, and multivariate analysis using ggplot2

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