Effect size is the quantitative magnitude of the experimental effect or in simpler words it is a measure of how meaningful the effect is. Larger effect size signifies a bigger practical inference or a stronger relationship between two variables. Effect size is usually calculated either by using Cohen's d or Pearson's r.
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Rahul Arora on 15th Nov 2022.
Applause for all the respondents - Dheeraj Bhardwaj, Himanshu Sharma, Rahul Arora, Dimple Tiwari, Anuj Bhatnagar, Mohamed Safir, Godwin Thomas.