59 lines
1.1 KiB
Markdown
59 lines
1.1 KiB
Markdown
Math 5 Final Project <br />
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Peter Howell <br />
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Section 40431, Prof. Raylene Potter<br />
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# Relationship Between Course Modality, Teacher/Student Prep, and Final Grades
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## Data Collection
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- Overview
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### Procedures
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- Python script for extracting grades
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- Anonymization of teachers and students
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- Excluded Courses
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### Critique of Procedures
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- Shortcomings of data source
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- Possible sources of bias
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## Statistical Analysis
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- Descriptive Statistics
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- mean, median, mode, percentials, variances, etc
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- interpretations of central tendency and dispersion
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- Graphical Representations
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- bar, histogram, etc
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- determine approximate shapes
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- distributional assumptions met?
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- Hypothesis Tests
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1. one-sample proportion
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2. two-sample proportion
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3. one-sample t test
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4. two-sample t test
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- Correlation / Regression Models
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1.
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2.
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## Shapes of Distributions
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- are distributional assumptions met (normal? uniform?)
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## Critique Analysis
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- sample size
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- bias
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- assumptions
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- nonsampling errors
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## Summary / Conclusions
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## Appendix
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- dataset
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- code |