canvasapp/cache/report.md

Math 5 Final Project
Peter Howell
Section 40431, Prof. Raylene Potter

Relationship Between Course Modality, Teacher/Student Prep, and Final Grades

Data Collection

• Overview

Procedures

• Python script for extracting grades
• Anonymization of teachers and students
• Excluded Courses

Critique of Procedures

• Shortcomings of data source
• Possible sources of bias

Statistical Analysis

• Descriptive Statistics

  • mean, median, mode, percentials, variances, etc
  • interpretations of central tendency and dispersion

• Graphical Representations

  • bar, histogram, etc
  • determine approximate shapes
  • distributional assumptions met?

• Hypothesis Tests

  1. one-sample proportion
  2. two-sample proportion
  3. one-sample t test
  4. two-sample t test

• Correlation / Regression Models 1. 2.

Shapes of Distributions

• are distributional assumptions met (normal? uniform?)

Critique Analysis

• sample size
• bias
• assumptions
• nonsampling errors

Summary / Conclusions

Appendix

• dataset
• code