👨‍🏫 Teaching

Instructor

• Applied Statistics for Biological Sciences (STA 100, undergraduate level)
  University of California, Davis, Summer 2023, Syllabus
  Course Description: Descriptive statistics, probability, sampling distributions, estimation, hypothesis testing, contingency tables, ANOVA, regression; implementation of statistical methods using computer package.
  • Installing R and RStudio, R Markdown, Loading data
  • Chapter 1. Data and Distributions
    Slides, Handouts
  • Chapter 2. Descriptive Statistics
    Slides, Handouts, Homework, Solutions
  • Chapter 3. Probability
    Slides, Handouts
  • Chapter 4. The Normal Distribution
    Slides, Handouts
  • Chapter 5. Sampling Distribution
    Slides, Handouts, Homework, Solutions
  • Chapter 6. Confidence Intervals
    Slides, Handouts
  • Chapter 7. Comparison of Two Independent Samples
    Slides, Handouts
  • Chapter 8. Comparison of Paired Samples
    Slides, Handouts, Homework, Solutions
  • Chapter 9. Categorical Data
    Slides, Handouts
  • Chapter 10. Analysis of Categorical Data: Relationships
    Slides, Handouts, Homework, Solutions
  • Chapter 11. Comparing the Means of Many Independent Samples
    Slides, Handouts
  • Chapter 12. Comparing the Means of Many Independent Samples
    Slides, Handouts, Homework, Solutions
  • Final, Formula Sheet

Teaching Assistant

• Data & Web Technologies for Data Analysis (STA 220, graduate level)
  University of California, Davis, Winter 2021, Winter 2022
• Applied Statistical Methods: Regression Analysis (STA 108, undergraduate level)
  University of California, Davis, Spring 2021
• Analysis of Categorical Data (STA 138, undergraduate level)
  University of California, Davis, Fall 2020
• Applied Statistics for Biological Sciences (STA 100, undergraduate level)
  University of California, Davis, Fall 2019, Winter 2020, Spring 2020
• Computer Programming in C (undergraduate level)
  University of Science and Technology of China, Spring 2017