Effect Size for the independent t-test

Effect size basically indicates how strong an observed effect is. The effect size for the independent t-test tells you how strong the difference between the groups is. The independent samples t-test checks whether there is a difference between two independent groups. Content: What is the effect size What is the difference to the p-value How it is calculated and interpreted How to calculate the effect size online Difference effect size and p-value The p-value says nothing about the size of the effect or difference and depends very much on the sample size. What does this mean? If there is a difference in the population, the larger the sample, the more clearly it is indicated in the p-value. If the sample is very large, very small differences in the population can also be detected. These small differences may no longer be relevant at all. Video about: The independent t-Test:    • Independent t-Test - How to interpret and ...   p-Value:    • Видео   Effect size online calculator: https://numiqo.com/statistics-calcula... More information about the effect size for the unpaired t-Test: https://numiqo.com/tutorial/effect-si...