Summary
This section covers a comprehensive range of numerical measures used to describe data. It introduces various measures of central location—arithmetic mean, weighted mean, median, mode, and geometric mean—each with their benefits and limitations, and continues with measures of dispersion such as range, mean deviation, variance, and standard deviation. Additionally, key theorems like Chebyshev’s theorem and the Empirical Rule aid in understanding how data spreads around a central value. Together, these tools provide a robust framework for summarizing, analyzing, and interpreting quantitative data in diverse real-world contexts.