stats report

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+Math 5 Final Project <br />
+Peter Howell <br />
+Section 40431, Prof. Raylene Potter<br />
+
+# 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