Summarizes and visualizes data using measures like mean, standard deviation, and graphs to reveal patterns, trends, and distributions.
Uses probability theory and sampling to draw conclusions about populations, test hypotheses, estimate parameters, and quantify uncertainty in data.
Analyzes relationships between multiple variables using regression, correlation, and dimensionality reduction to build predictive and explanatory statistical models.
Applies techniques like time series, experimental design, and non-parametric tests to handle complex, structured, or non-normal data scenarios effectively.