Final answer:
The accuracy of a poll is often assessed using sampling error and margin of error, which can be minimized with larger sample sizes and higher confidence levels.
Explanation:
Sampling error is the yardstick that measures the potential for variation between survey responses and the entire population's potential answers. It reflects the level of accuracy in a poll and can be reduced with a larger sample size.
Margin of error is a number indicating how far poll results may deviate from the total population's opinion. A lower margin of error signifies a more precise poll, while large margins of error indicate less reliability.
Confidence level in a survey specifies the likelihood that the results fall within the estimated sampling error range, increasing with a larger sample size in probability sampling.
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