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Learn to compare two groups using parametric statistical tests in this 53-minute Python tutorial. Master the fundamentals of hypothesis testing and p-values before exploring independent samples t-tests, paired samples t-tests, and chi-square tests for categorical variables. Discover how to interpret effect sizes and understand statistical power and sample size considerations. Follow along with practical Python code demonstrations using the UCI Heart Disease Dataset to apply these statistical concepts to real data analysis scenarios.
