How Does Effect Size Relate To T-test Sample Size? - The Friendly Statistician

How Does Effect Size Relate To T-test Sample Size? In this informative video, we will explore the important relationship between effect size and sample size, particularly in the context of t-tests. Understanding how these two concepts interact is essential for anyone involved in data analysis or research. We will define effect size and how it is represented using Cohen's d, clarifying what small, medium, and large effects mean for your studies. Additionally, we will discuss the significance of sample size and its impact on the power of a t-test, which is the probability of correctly identifying a true effect.

This video will guide you through the process of estimating expected effect sizes based on prior research and theoretical expectations, as well as how to determine the necessary sample size to achieve desired power and significance levels. We will also highlight why reporting effect size alongside p-values is important for conveying the real-world relevance of your findings.

Whether you are a student, researcher, or simply someone interested in the field of statistics, understanding the interplay between effect size and sample size is vital for conducting effective research. Join us for this engaging discussion, and don't forget to subscribe to our channel for more insightful content on measurement and data analysis.

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