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.
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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