What is the importance of margin of error in statistics?
The margin of error indicates the range within which the true value lies, helping to assess the reliability of survey results.
How does a smaller margin of error affect the results?
A smaller margin of error means more precise results, increasing confidence in the data's accuracy and reliability.
Can you give an example of how margin of error is used in polls?
Sure! If a poll shows 60% support for a candidate with a margin of error of ±3%, the true support could be between 57% and 63%.
What factors influence the margin of error?
The margin of error is influenced by sample size, variability in the population, and the confidence level chosen for the results.
Is there a way to reduce the margin of error?
Yes, increasing the sample size is the most effective way to reduce the margin of error and improve accuracy.
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