Question 2Why is effect size related to importance?1 pointEffect size provides a measure of the size of the difference that is not influenced by sample size.Effect size is another way to confirm the findings of hypothesis testing.Effect size includes sample size so it is reliable.Effect size indicates if the results of sampling are likely due to chance

Effect size is related to importance for several reasons:

1. Effect size provides a measure of the size of the difference that is not influenced by sample size: This means that it gives a more accurate representation of the true difference between groups or variables, regardless of how many data points you have. This is important because it allows for a more accurate interpretation of results.

2. Effect size is another way to confirm the findings of hypothesis testing: Hypothesis testing can tell you if a result is statistically significant, but it doesn't tell you how significant. Effect size can help fill in that gap by providing a measure of the magnitude of the difference.

3. Effect size includes sample size so it is reliable: While effect size is not influenced by sample size, it does take it into account. This means that it can provide a reliable measure of the difference between groups or variables, even when sample sizes are small.

4. Effect size indicates if the results of sampling are likely due to chance: If the effect size is large, it's less likely that the results are due to chance. This can help researchers determine if their findings are likely to be replicated in future studies.