What This Document Is
This document contains Nelida Munguia’s completed homework assignment for Week 3 of Introduction to Biomedical Statistics (BST 322) at National University. It demonstrates application of chi-square tests using StatCrunch to analyze contingency tables and interpret statistical significance.
Why This Document Matters
This assignment is intended for students enrolled in BST 322. It serves as a practice exercise to solidify understanding of hypothesis testing, specifically using the chi-square test to determine relationships between categorical variables. It’s likely part of the course’s assessment and contributes to the overall grade.
Common Limitations or Challenges
This document represents a single student’s work and may contain errors. It’s a completed assignment, not a teaching guide, and doesn’t explain the underlying statistical concepts in detail. It’s a snapshot of application, not a comprehensive resource.
What This Document Provides
The full document includes:
* Completed contingency tables with row, column, and total percentages for two datasets.
* Chi-square statistic calculations (statistic, degrees of freedom, p-value) for both datasets.
* Interpretations of statistical significance based on p-values and alpha levels.
* Short paragraph summaries of the analysis results.
* Answers to questions regarding chi-square significance and nonparametric test matching.
This preview does *not* include the detailed explanations of *how* the calculations were performed or the statistical reasoning behind the conclusions. It does not provide instruction on using StatCrunch.
