Lecture-08: Difference of Means (Part 2)

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Topics

  • Data Visualization: Plotting T-Test Results
  • Data Analysis: One and Two Sample T-Tests in R; Effect Sizes and Power Analyses for T-Tests
  • Quantitative Research: Getting Started with knitr

Readings

Required

  • TBA from Yihui Xie, J. J. Allaire, and Garrett Grolemund. 2018. R Markdown: The Definitive Guide. New York, NY: CRC Press. (Link)

Assignments

Due Before Class

  • From Prior Lecture: Lab 06 - T-Tests by Hand and Reshaping Data
  • From Final Project: Progress report from each student due as a GitHub issue in each student’s final project repository
  • For This Lecture: Lecture Prep 08 - knitr Basics

Due Before Lecture-10

  • For This Lecture:
    • Lab 07 - T-Tests and Reshaping Data in R
    • Problem Set 04 - Difference of Means Testing