What Does A P-value Mean In Statistical Significance Testing? - The Friendly Statistician

Описание: What Does A P-value Mean In Statistical Significance Testing? Have you ever wondered what a p-value is and how it helps in understanding data? In this informative video, we'll explain everything you need to know about p-values and their role in statistical significance testing. We’ll start by defining what a p-value is and how it is calculated using experimental data. You’ll learn how researchers compare data to what’s expected under the assumption that there is no real effect, and how the p-value indicates the likelihood of observing such results if the null hypothesis is true. We’ll discuss how scientists use a threshold, often set at 0.05, to determine whether results are statistically significant, and what that means for drawing conclusions from data. Additionally, we’ll cover important points such as what a small p-value actually signifies—and what it doesn’t—highlighting that it doesn’t prove a hypothesis is false or indicate the size of an effect. We’ll also explain why p-values should be used alongside other measurements like effect sizes and confidence intervals to get a complete picture of your findings. Whether you're analyzing data in medicine, business, or research, understanding p-values is essential for making accurate decisions and avoiding false conclusions. Join us for this clear explanation, and subscribe to our channel for more insights on data analysis and statistics.

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