What's a Good Confidence Interval?
A Smaller Sample Size or a Higher Variability Will Result in a Wider Confidence Interval with a Larger Margin of Error. the Level of Confidence Also Affects...
A smaller sample size or a higher variability will result in a wider confidence interval with a larger margin of error. The level of confidence also affects the interval width. If you want a higher level of confidence, that interval will not be as tight. A tight interval at 95% or higher confidence is ideal.
What is a good percent confidence interval?
Most commonly, a 95% confidence level is used. However, other confidence levels, such as 90% or 99%, are sometimes used.
What is considered a large confidence interval?
Intervals that are very wide (e.g. 0.50 to 1.10) indicate that we have little knowledge about the effect, and that further information is needed. ... A 95% confidence interval is often interpreted as indicating a range within which we can be 95% certain that the true effect lies.