Dive into a comprehensive 2.5-hour statistics course covering fundamental concepts and analytical techniques. Begin with an introduction to statistics, exploring populations, and distinguishing between descriptive and inferential approaches. Master key statistical measures including mean, median, mode, and range. Learn to create and interpret frequency distribution tables, relative and cumulative frequencies, and various data visualization methods such as pie charts, bar graphs, and histograms. Explore advanced topics like stem and leaf plots, population and sample means, variance, standard deviation, and the coefficient of variation. Understand the empirical rule, Chebyshev's theorem, quartiles, box and whisker plots, and z-scores. Gain practical skills in calculating and applying these statistical concepts to real-world data analysis problems.