Where Did The P-value Concept In Hypothesis Testing Come From? - The Friendly Statistician

Описание: Where Did The P-value Concept In Hypothesis Testing Come From? Have you ever wondered how scientists determine if their research results are meaningful or just due to random chance? In this informative video, we'll explain the origins and development of the concept known as the p-value, a fundamental tool in hypothesis testing. We'll start by exploring the story of John Arbuthnot, who first used probability to challenge a null hypothesis over 300 years ago. Then, we'll discuss how early statisticians like Karl Pearson and Ronald Fisher formalized the idea, with Fisher popularizing the use of p-values as a way to measure the strength of evidence against the null hypothesis. We'll also cover how Jerzy Neyman and Egon Pearson contributed to establishing standard practices, such as setting significance levels for decision-making. You'll learn what a p-value actually represents and what it doesn't — emphasizing that it measures the strength of evidence, not the size or importance of an effect. Understanding the history and purpose of the p-value is essential for interpreting scientific results accurately. Whether you're a student, researcher, or just curious about data analysis, this video will help clarify how the p-value shapes scientific decision-making today. Subscribe for more insights into statistics and data analysis!

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