What This Document Is
This document is a lab practice assignment for Emory University’s QTM 100: Introduction to Statistical Inference course. Specifically, it’s Lab Practice Eleven, completed by students Zoe Schreiber, Anna Glass, and Madeline Maday. The lab focuses on applying statistical concepts to analyze a dataset related to student surveys, with a primary focus on GPA and hours spent in extracurricular activities. It requires students to produce visualizations, interpret statistical outputs, and draw conclusions about potential relationships within the data.
Why This Document Matters
This lab is designed for students enrolled in QTM 100 who are learning to apply statistical methods to real-world data. It’s used as a practical exercise to reinforce concepts covered in lectures, such as data visualization, correlation, and hypothesis testing. Students complete this lab to develop their data analysis skills and gain experience using statistical software (likely R, based on the code snippets).
Common Limitations or Challenges
This lab practice provides a guided analysis of a specific dataset. It does *not* cover the broader theoretical foundations of statistical inference in detail. Students will still need to understand the underlying statistical principles to correctly interpret the results and draw meaningful conclusions. The lab focuses on a single dataset; generalizing findings to other populations requires additional consideration.
What This Document Provides
This document includes:
* Code snippets (in R) for generating histograms and scatterplots.
* Statistical output from correlation tests (specifically, `cor.test`).
* Student responses to questions about data distributions, relationships between variables, and interpretations of statistical results.
* Analysis of GPA distribution, including data cleaning to remove implausible values.
* Examination of the relationship between GPA and hours spent on extracurriculars, including correlation estimation and hypothesis testing.
This preview *does not* include the complete dataset, detailed explanations of statistical theory, or a comprehensive discussion of potential biases or limitations of the analysis. It also does not provide solutions or step-by-step instructions for completing the lab.
