Key concepts

Review the readings and practices from previous weeks.

Empirical research foundations

Descriptive statistics

Key concepts:
- Distribution: frequency, percentiles
- Central tendency: mean, weighted mean, median, mode
- Dispersion: standard deviation, skewness
Test questions:
- Quantitative test: Q2

Foundation for inferential statistics

Testing differences

Key concepts:
- Estimating population proportions
- Testing difference of means
- Contingency tables and Chi-Square test of independence
Test questions:
- Quantitative test: Q4
Dependent and independent variable (missing reference)
Slope (regression coefficient) and intercept (missing reference)
Goodness of fit and outliers (missing reference)
Residual variation and standard error of the estimate (missing reference)
Coefficient of determination r-squared (missing reference)
Standard error of the slope (missing reference)
Assumptions of linear regression (missing reference)
- Errors Normally distributed
- Homoskedasticity
- Errors are independent of each other
- Independent and dependent variables must be interval variables
- Linear relationship between variables
Ordinary least squares (OLS) (Allison, 1999)
Partial slope (regression coefficients) (missing reference)
Multiple coefficient of determination R-squared (missing reference)
Adjusted R-squared (missing reference)
Dummy variable regression (missing reference)
Additional regression assumptions (missing reference)
- Model is specified correctly
- Low multi-collinearity
Polynomial curve fitting (missing reference)

Before class

Review the key concepts from previous two weeks.