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We appreciate your visit to A doctor wanted to study the effect of four different treatments on mental health A group of 100 adults experiencing depression volunteered for the study. This page offers clear insights and highlights the essential aspects of the topic. Our goal is to provide a helpful and engaging learning experience. Explore the content and find the answers you need!

A doctor wanted to study the effect of four different treatments on mental health. A group of 100 adults experiencing depression volunteered for the study. The doctor randomly assigned one-fourth of them to each of four groups:

- Group 1 followed a specific exercise plan.
- Group 2 followed a specific diet plan.
- Group 3 followed an exercise and diet plan.
- Group 4 did not follow any plan.

After 4 weeks, the doctor contacted each participant and asked if they felt any better. The results are displayed in the table.

The doctor would like to know if these data provide convincing evidence that the distribution of responses differs across the treatment groups in the population of all patients like these. Are the conditions for inference met?

A. No, the random condition is not met.
B. No, the 10% condition is not met.
C. No, the Large Counts condition is not met.
D. Yes, all three conditions for inference are met.

Answer :

The only condition that is met is the random condition. Therefore, we cannot conclude that all three conditions for inference are met. the 10% condition is not met.

The conditions for inference are not met in this scenario.

The first condition for inference is the random condition, which states that the individuals should be randomly assigned to the treatment groups. However, it is mentioned that the doctor assigned the participants randomly, so this condition is met.

The second condition for inference is the 10% condition, which states that the sample size should be less than 10% of the population. Since there are 100 participants in this study, it can be assumed that there are at least 1000 adults with depression in the population. Therefore, the 10% condition is not met.

The third condition for inference is the Large Counts condition, which states that the expected count for each cell in the contingency table should be at least 5. Looking at the table, it is not provided, so we cannot determine if this condition is met.

Based on the information provided, the only condition that is met is the random condition. Therefore, we cannot conclude that all three conditions for inference are met.

For more such questions on random , Visit:

https://brainly.com/question/251701

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