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A manutacturer of a new dıet pill sponsored a study to determıne the ettectıveness for reducing peoples weight. Three hundred out of 20,000 college students in a large city were paid to participate as subjects in the study. The three hundred participants were selected based on information given about their weight provided by a form they filled out to be part of the study. All of the selected participants were rated as being overweight at the beginning of the two month study. The subjects were given the diet pill once a day for two months. At the end of the study 227 of the participants provided information that they lost weight over the two months. List three possible causes other than the effectiveness of the diet pill that could have confounded the results of the study. The participants determined their weight loss. Only three hundred participated from the population of 20,000 students. The manufacturer sponsored the study. The volunteers were paid to participate. College students may not be typical of the population at large in several critical aspects (age, health, etc.).

Ask by Harrington Wagner. in the United States
Mar 12,2025

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- **Self-Report Bias:** Participants reported their own weight loss, which might not be accurate. - **Selection Bias:** Only 300 out of 20,000 students were chosen, which may not represent all overweight individuals. - **Volunteer and Sponsorship Bias:** Participants were paid and the study was sponsored by the pill manufacturer, which could affect their behavior and the results.

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One possible confounding factor could be that the volunteers were paid to participate, potentially influencing their motivation and mindset regarding weight loss. This could lead to more effort in following eating plans or exercising, skewing the results in favor of the diet pill's perceived effectiveness. Additionally, the fact that only three hundred participants were selected from a larger pool of 20,000 students means that the sample size may not adequately represent the broader population's diversity. This limitation can impact the generalizability of the study's results, as individual differences in lifestyle, metabolism, and personal circumstances among the various participants can significantly affect weight loss outcomes.

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