The margin of error (ME) can be found by calculating the difference between the mean and one of the bounds of the confidence interval.

Given:

• Mean = 23%
• Confidence Interval = (19.7%, 26.3%)

The margin of error is calculated as:

$\text{Margin of Error} = \text{Upper Bound} - \text{Mean} \text{ or } \text{Mean} - \text{Lower Bound}$

Let's calculate:

$\text{Margin of Error} = 23\% - 19.7\% = 3.3\%$

Or:

$\text{Margin of Error} = 26.3\% - 23\% = 3.3\%$

Thus, the margin of error is ±3.3%.

Would you like more details, or do you have any questions?

Here are 5 related questions you might consider:

1. How is the confidence interval interpreted in terms of population parameters?
2. What is the significance of a 95% confidence level in confidence intervals?
3. How do sample size and variability affect the margin of error?
4. How can you decrease the margin of error in a study?
5. What is the difference between a one-sided and a two-sided confidence interval?

Tip: The margin of error decreases as the sample size increases, which is why larger studies tend to produce more precise estimates.