Biostatistics
Goal of this WebBook
Academic Integrity
What to study?
Contacts
Lecture 1: Introduction
Tutorial 1: Introducing R
Lecture 2: Key Jargon
Lecture 3: Displaying data
Tutorial 2: The R and RStudio environments
Lecture 4: Frequency distributions
Lecture 5: Describing data (part 1)
Tutorial 3: Graphs
Lecture 6: Describing data (part 2)
Lecture 7: Sampling variation
Tutorial 4: Describing data
Lecture 8: Sampling distributions
Lecture 9: Confidence Intervals (part 1)
Tutorial 5: Sampling variation
Lecture 10: Confidence Intervals (part 2)
Tutorial 6: Sample estimators
Lecture 11: Properties of Estimators
Lecture 12: Statistical Hypotheses Testing
Tutorial 7: Statistical Hypothesis Testing
Lecture 13: One-Sample Testing
Lecture 14: Two-Sample Testing
Tutorial 8: The t-distribution
Lecture 15: Two-sample testing under heteroscedasticity
Lecture 16: The side of a test
Tutorial 9: Two-sample t-tests
Lecture 17: ANOVA
Lecture 18: post-hoc ANOVA
Tutorial 10: ANOVAs
Lecture 19: Regression (part 1)
Tutorial 11: Simple Linear Regression
Lecture 20: Regression (part 2)
Lecture 21: Correlation and normality
Tutorial 12: Correlation and test assumptions
Lecture 22: Review
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Biostatistics - BIOL322

Lecture 22: Review

December 6th, 2022 (13th week of classes)

Quick review - types of tests

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