Скачать или смотреть How Do You Tell Statistical Significance From Practical Significance? - The Friendly Statistician

How Do You Tell Statistical Significance From Practical Significance? Are you curious about how to determine whether a research result really matters in real life? In this informative video, we'll explain how to distinguish between statistical significance and practical significance in data analysis. We'll start by defining what statistical significance is and how p-values are used to identify results that are unlikely due to chance. Then, we'll discuss the importance of effect sizes, such as Cohen's d and odds ratios, to understand the true impact of a finding. We'll also cover the role of confidence intervals in estimating the range of possible effects, helping you evaluate whether an observed difference is meaningful. Additionally, we'll highlight how large sample sizes can make tiny effects appear significant, and why considering the context of your specific situation is essential. Whether you're analyzing data for research, business, or everyday decision-making, understanding these concepts will help you interpret results more accurately. Join us as we walk through practical steps to assess whether a statistically significant result is also practically important. Subscribe to our channel for more insights on data analysis and statistics.

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