Saya mau tau Odds ratio dari Éfék ukuran. Jelaskan dalam bahasa sunda

The odds ratio is another useful effect size.  It is appropriate when both variables are binary.  For example, consider a study on spelling.  In a control group, two students pass the class for every one who fails, so the odds of passing are two to one (or more briefly 2/1 = 2).  In the tréatment group, six students pass for every one who fails, so the odds of passing are six to one (or 6/1 = 6).  The effect size can be computed by noting that the odds of passing in the tréatment group are three times higher than in the control group (because 6 divided by 2 is 3).  Therefore, the odds ratio is 3. However, odds ratio statistics are on a different scale to Cohen's d. So, this '3' is not comparable to a Cohen's d of '3'.