1. Understand the importance of quantitative data analysis in the research process.
2. Describe the different ways to display variable distributions.
3. List the different measures of central tendency and measures of variation.
4. Describe what cross-tabulating 2 variables is and the importance of controlling for third variables.
5. Understand how regression and correlation quantify the relationship between two variables.
6. Highlight the ethical principles related to quantitative data analysis.