Step-by-step chi-square test examples including goodness-of-fit and independence tests with calculations. Learn interpretation, common pitfalls, assumptions, and tools like Excel/R/Python. Practical applications for categorical data analysis.
Master the difference between continuous and discrete variables with clear examples, comparison tables, and practical analysis implications. Learn how to correctly classify data types for accurate statistical decisions.
Step-by-step guide to calculate p-value from chi-square statistic. Learn formulas, degrees of freedom, software methods (Excel, Python, R), real examples, and common mistakes for accurate statistical analysis.
Step-by-step guide to individual sample t tests with real-world applications. Learn when to use it, avoid common mistakes, interpret results, and run analyses in Excel, R, or Python. Includes practical examples.