Скачать или смотреть How Does P-Value Differ From Effect Size?

Ever wondered about the crucial distinctions between p-value and effect size in statistical analysis? This video aims to clarify the often-confused roles of these two fundamental concepts, helping you interpret research findings with greater precision and confidence.

In this insightful discussion, we break down why understanding both p-value and effect size is essential for robust statistical interpretation:
► We define p-value as a measure of statistical significance, indicating the probability of observing data given the null hypothesis.
► Discover how effect size quantifies the magnitude and practical importance of an observed effect, independent of sample size.
► Understand why a statistically significant p-value doesn't always imply a practically meaningful effect size, and vice-versa.
► Learn how combining both metrics provides a more complete and nuanced understanding of your research results.
► Explore real-world implications of misinterpreting these concepts and the best practices for reporting them.


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