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 - H...
p-Value: • p-Value: clearly expla...
Effect size online calculator:
datatab.net/statistics-calcul...
More information about the effect size for the unpaired t-Test:
datatab.net/tutorial/effect-s...
13 дек 2020
