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**Medical Trial Analysis: Understanding Effectiveness of a New Medication**

A medical trial was conducted to assess the effectiveness of a new medication using a sample of adults. The trial included 200 females and 160 males. Out of these participants, 120 females and 100 males responded positively to the medication. To better analyze the results, we will create a contingency table and answer the following questions:

a. **Who responds better to the medication, men or women? (Explain why)**  
   - This involves comparing the proportions of positive responses in each gender group.

b. **Express the relative effectiveness of the drug between groups, as a ratio.**  
   - Calculate the ratio of positive responders between females and males.

c. **If you randomly picked out a negative test, what is the probability that the person would be male?**  
   - Determine the probability by analyzing the distribution of negative responses across both genders.

d. **Practically speaking, for whom would this new medication be of the most benefit?**  
   - Consider the relative effectiveness and identify which group benefits more from the medication.

This analysis will provide insights into the gender-specific effectiveness of the new medication.
Transcribed Image Text:**Medical Trial Analysis: Understanding Effectiveness of a New Medication** A medical trial was conducted to assess the effectiveness of a new medication using a sample of adults. The trial included 200 females and 160 males. Out of these participants, 120 females and 100 males responded positively to the medication. To better analyze the results, we will create a contingency table and answer the following questions: a. **Who responds better to the medication, men or women? (Explain why)** - This involves comparing the proportions of positive responses in each gender group. b. **Express the relative effectiveness of the drug between groups, as a ratio.** - Calculate the ratio of positive responders between females and males. c. **If you randomly picked out a negative test, what is the probability that the person would be male?** - Determine the probability by analyzing the distribution of negative responses across both genders. d. **Practically speaking, for whom would this new medication be of the most benefit?** - Consider the relative effectiveness and identify which group benefits more from the medication. This analysis will provide insights into the gender-specific effectiveness of the new medication.
**Short Answer Questions**

34. The following table shows the distribution of BMI in the entire population of children living in United States urban and European urban neighborhoods (in terms of millions).

| Neighborhood | Normal Weight | Overweight | Obese |
|--------------|---------------|------------|-------|
| United States| 134           | 60         | 40    |
| Europe       | 92            | 32         | 21    |

a. What is the proportion of normal weight children?

b. What is the count of children living in a U.S. urban neighborhood being overweight?

c. What is the ratio between European overweight children and American overweight children?

d. What is the probability that a child lives in a U.S. urban neighborhood and is obese?

e. Which nation's children appear to be at higher risk of future health problems? Justify briefly.
Transcribed Image Text:**Short Answer Questions** 34. The following table shows the distribution of BMI in the entire population of children living in United States urban and European urban neighborhoods (in terms of millions). | Neighborhood | Normal Weight | Overweight | Obese | |--------------|---------------|------------|-------| | United States| 134 | 60 | 40 | | Europe | 92 | 32 | 21 | a. What is the proportion of normal weight children? b. What is the count of children living in a U.S. urban neighborhood being overweight? c. What is the ratio between European overweight children and American overweight children? d. What is the probability that a child lives in a U.S. urban neighborhood and is obese? e. Which nation's children appear to be at higher risk of future health problems? Justify briefly.
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According to the sum, A medical trial looking at the effectiveness of a new medication was carried on a sample of adults. 200 females and 160 males took part in the trial. Out of those people120 females and 100 males responded positively to the medication. We need to create a contingency table.

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