Descriptive Statistics
Understand distributions using mean, median, mode, variance, standard deviation, quartiles and percentiles.
Explore fundamentals ↗Discover the patterns hidden inside data. Explore statistical methods, build meaningful visualisations, and understand how evidence can support better research and business decisions.
Choose an analytical path to understand the data, test your assumptions, and communicate results accurately.
Understand distributions using mean, median, mode, variance, standard deviation, quartiles and percentiles.
Explore fundamentals ↗Examine relationships between variables, estimate regression models and interpret coefficients.
Explore regression ↗Study the direction and strength of association using Pearson, Spearman and correlation matrices.
Understand relationships ↗Learn null and alternative hypotheses, p-values, confidence intervals, t-tests, z-tests and ANOVA.
Test a hypothesis ↗Investigate trends, seasonality, stationarity, autocorrelation and forecasting methods.
Explore time series ↗Connect statistical theory with economic data, model diagnostics, inference and empirical research.
Explore econometrics ↗Explore how the same illustrative dataset can be represented in different ways. Change the visualisation to see which analytical perspective it supports.
Note: The chart uses illustrative data for demonstration, not real survey or research findings.
A line chart helps reveal changes across ordered observations.
Reliable analysis begins with a clear question and ends with a result that can be interpreted in context.
Identify the research objective, variables and hypothesis.
Check missing values, outliers, measurement and data quality.
Select suitable methods, check assumptions and test robustness.
Explain results, uncertainty, limitations and practical implications.
Explore statistical concepts, strengthen your research skills and learn to interpret data with clarity and confidence.