This comprehensive math tutorial explores five distinct types of statistical means: the Arithmetic Mean, Geometric Mean, Weighted Mean, Harmonic Mean, and Root Mean Square (RMS). The video breaks down the specific formulas for each, explains their relationship to mathematical sequences, and demonstrates how to calculate them using step-by-step examples involving various data sets. Key themes include the relationship between means and sequences (arithmetic, geometric, and harmonic), the importance of weighting in real-world scenarios, and common misconceptions in calculating averages. A significant portion of the video is dedicated to solving a classic average speed word problem, illustrating why the harmonic mean—rather than the arithmetic mean—is necessary when calculating average rates over equal distances. This resource is highly valuable for high school and college math students, particularly those in Algebra 2, Pre-Calculus, and Statistics. It provides clear, actionable methods for solving mixture problems and physics-based rate problems. Teachers can use the specific examples to demonstrate why "average" can mean different things in different contexts and helping students avoid common pitfalls when analyzing data.