This analysis investigates the differences between eco-friendly and non-eco-friendly manufacturing practices in the fashion industry through hypothesis testing. Specifically, we test whether there are significant price differences between brands that use eco-friendly vs. non-eco-friendly manufacturing methods, and whether these practices are associated with the implementation of recycling programs. Using R, we apply statistical tests (such as t-tests and chi-square tests) to examine these relationships, providing insights into how sustainability efforts influence both product pricing and brand behaviors in the fashion industry.

A detailed quality control (QC) should be an essential part of every statistical data analysis, since the quality of the data is crucial for the validity and generalizability of statistical results. The goal of quality control is not only to assess data quality, but also to verify the assumptions made or required for further data analysis. In this worksheet, we address the quality control of raw data. In the case of mchaptericroarray data, a second quality control after data preprocessing is necessary.

NCD

Introduction to Quarto

Introduction To Quarto

Introduction to Quarto

Intro to Quarto

Intro to quarto

Introduction to Quarto

practise intro

Introduction to quarto, first class