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Statistical Methods
Statistical methods are mathematical techniques used to collect, analyze, interpret, and present data, enabling data-driven decision-making and insights. They include descriptive statistics (summarizing data), inferential statistics (making predictions from samples), and probability theory, and are fundamental in fields like data science, research, and business analytics.
Also known as: Statistics, Statistical Analysis, Stats, Data Analysis Methods, Quantitative Methods
🧊Why learn Statistical Methods?
Developers should learn statistical methods when working with data-intensive applications, such as machine learning, A/B testing, or data visualization, to ensure accurate analysis and valid conclusions. They are essential for tasks like hypothesis testing, regression analysis, and anomaly detection, helping to build robust, evidence-based software systems.