In a recent study,  males used a new weight-loss supplement, and all but  of them experienced weight loss after two weeks. In the same study,  females used the same supplement, and all but  of them experienced weight loss after two weeks.

Fill in the blanks below to make the most reasonable statement possible.

The new weight-loss supplement was more effective on  in the study. That is because
of them lost weight after two weeks, whereas only
of the  lost weight after two weeks.

To fill in the blanks with the most reasonable statement, let's consider the effectiveness of the supplement on males and females. 

Assume the number of males who lost weight was greater than the number of females who lost weight (relative to the total participants of each gender). Here’s how the statement can be completed:

**The new weight-loss supplement was more effective on males in the study. That is because _a larger proportion_ of them lost weight after two weeks, whereas only _a smaller proportion_ of the females lost weight after two weeks.**

This wording is general but can be applied depending on the data provided.

Would you like to explore a specific case with actual numbers or have any questions about this scenario? 

Here are 5 related questions:
1. How would the statement change if a greater percentage of females experienced weight loss?
2. What statistical methods could be used to compare the effectiveness of the supplement between males and females?
3. How would you calculate the percentage of weight loss in each group?
4. Could external factors influence the effectiveness of the supplement on males versus females?
5. How would you determine if the difference in effectiveness between genders is statistically significant?

**Tip:** When analyzing studies, always consider the sample size and the proportion of success within each group for a more accurate comparison.

Explore the effectiveness of a new weight-loss supplement on males and females based on a study. Understand how proportions of weight loss differed between genders after two weeks.

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