Foundations of Statistics: Central Tendency and Dispersion

Data is meaningless without the tools to summarize and understand its shape. Whether you are starting out in academic mathematics, business analysis, or modern data science, mastering how data clusters and spreads is your essential first step. This text-based course guides you from absolute basics to a practical understanding of statistical distributions, helping you describe any dataset with precision. What you'll learn: - Understand foundational concepts of data types, frequency distributions, and statistical notation. - Calculate and compare measures of central tendency, including the mean, median, and mode. - Measure data spread using range, quartile deviation, mean deviation, variance, and standard deviation. - Analyze the impact of outliers and skewed distributions on your statistical summaries. - Apply these statistical measures to real-world datasets using modern data tools like Python. You will start with core terminology and the theory behind data distributions before walking through step-by-step calculations and practical interpretations. Designed for absolute beginners in statistics, data analysis, or academic mathematics, with no prior advanced math required. Start reading today to build a rock-solid foundation in statistical analysis.