A 90% confidence interval is a range of values calculated from sample data that is likely to contain the true value of a population parameter with a 90% level of confidence.
Related terms
Margin of Error: The amount added and subtracted to the point estimate in order to create a confidence interval.
Confidence Level: The probability (expressed as a percentage) that the true population parameter lies within the calculated confidence interval.
Sampling Distribution: The distribution of all possible sample means or proportions from repeated random sampling.