Jamal and Pam asked two group of his friends and Pam surveyed Based on the data, which statem Jamal’s Sample Answer Percent Yes 88% No 12% Pam’s Sample Answer Percent Yes 58% No 42%
The Correct Answer and Explanation is:
To provide the correct answer and a 300-word explanation, let’s first interpret the data you shared:
Survey Results:
Jamal’s Sample:
- Yes: 88%
- No: 12%
Pam’s Sample:
- Yes: 58%
- No: 42%
Correct Statement:
“Jamal and Pam’s surveys produced different results, likely due to differences in their sample groups. Jamal’s group was much more likely to say ‘Yes’ than Pam’s group.”
Explanation
The survey results from Jamal and Pam show a significant difference in responses. Jamal’s sample had 88% of respondents answer “Yes” and only 12% say “No.” In contrast, Pam’s sample had 58% say “Yes” and 42% say “No.” This suggests that the people Jamal asked were much more likely to support or agree with whatever question was asked than the people Pam surveyed.
Such differences often arise in surveys due to sampling bias or differences in group characteristics. For instance, Jamal may have surveyed close friends or people with similar views, while Pam might have asked a more diverse group. These differences highlight how important the selection of a sample is when conducting surveys. A survey’s reliability depends on how well the sample represents the overall population.
If Jamal surveyed people who shared his opinions or were from a specific background, the high “Yes” percentage reflects that bias. Pam’s results, being more balanced, might suggest she surveyed a broader or more neutral group.
This case demonstrates why multiple samples are often used in research and why understanding who was surveyed is crucial. When survey results vary this much, it doesn’t mean one is right or wrong—it means the samples differed. In practice, researchers aim for random, representative samples to avoid misleading conclusions.
So, the correct interpretation is that Jamal and Pam got different results, and these differences are most likely due to whom they surveyed. It’s a key lesson in how survey design impacts the findings, and why statistical studies must pay attention to sampling methods.
