Catching up with seniors’ skills, ‘p-value & Effect Size’, the secret of statistical decision-making

In hypothesis testing, we usually use the p-value to evaluate statistical significance.
The p-value is used as an important indicator to determine whether a difference is statistically significant or not significant compared to a specified significance level. However, the p-value has the disadvantage of being sensitive to sample size.
There is a descriptive statistic called Effect Size that complements this.
Today, I will explain Effect Size with an easy-to-understand example along with p-value.

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