To determine which sample is likely to give the least biased results, we need to consider several factors affecting sample bias such as sample size, representativeness, selection method, and potential sampling errors.

1. **Sample Size**: Larger sample sizes typically provide more reliable data and reduce sampling bias.
2. **Representativeness**: The sample should accurately reflect the population from which it is drawn. If a sample is skewed towards a particular group, it may introduce bias.
3. **Selection Method**: Random sampling methods tend to minimize bias, while convenience sampling can lead to biased results.
4. **Potential Sampling Errors**: Evaluate the possibility of errors that could arise from the method used to gather the samples.

### Conclusion
Without specific details about each of the samples (A, B, and C), it's difficult to definitively determine which one is less biased. You should analyze the characteristics of each sample in relation to the points above to make an informed decision. If the samples differ in size or selection method, or if one is explicitly stated to be a random sample, that sample would likely yield the least biased results.

Question

To determine which sample is likely to give the least biased results, we need to consider several factors affecting sample bias such as sample size, representativeness, selection method, and potential sampling errors.

1. **Sample Size**: Larger sample sizes typically provide more reliable data and reduce sampling bias.
2. **Representativeness**: The sample should accurately reflect the population from which it is drawn. If a sample is skewed towards a particular group, it may introduce bias.
3. **Selection Method**: Random sampling methods tend to minimize bias, while convenience sampling can lead to biased results.
4. **Potential Sampling Errors**: Evaluate the possibility of errors that could arise from the method used to gather the samples.

### Conclusion
Without specific details about each of the samples (A, B, and C), it's difficult to definitively determine which one is less biased. You should analyze the characteristics of each sample in relation to the points above to make an informed decision. If the samples differ in size or selection method, or if one is explicitly stated to be a random sample, that sample would likely yield the least biased results.

Knowee AI · Accepted Answer

To determine which sample is likely to give the least biased results, we need to consider several factors affecting sample bias such as sample size, representativeness, selection method, and potential sampling errors.

1. **Sample Size**: Larger sample sizes typically provide more reliable data and reduce sampling bias.
2. **Representativeness**: The sample should accurately reflect the population from which it is drawn. If a sample is skewed towards a particular group, it may introduce bias.
3. **Selection Method**: Random sampling methods tend to minimize bias, while convenience sampling can lead to biased results.
4. **Potential Sampling Errors**: Evaluate the possibility of errors that could arise from the method used to gather the samples.

### Conclusion
Without specific details about each of the samples (A, B, and C), it's difficult to definitively determine which one is less biased. You should analyze the characteristics of each sample in relation to the points above to make an informed decision. If the samples differ in size or selection method, or if one is explicitly stated to be a random sample, that sample would likely yield the least biased results.

Question 7SavedDetermine which sample is likely to give the least biased results.Sample ASample BSample CI'm not sure

Question

Question 7

Solution

Conclusion

Similar Questions

Upgrade your grade with Knowee