![]() ![]() ![]() The confidence interval helps you assess the practical significance of your results. For example, a 95% confidence level indicates that if you take 100 random samples from the population, you could expect approximately 95 of the samples to produce intervals that contain the population mean. The confidence interval provides a range of likely values for the population mean. To better estimate the population mean, use the confidence interval. ![]() Because the mean is based on sample data and not on the entire population, it is unlikely that the sample mean equals the population mean. The mean of the sample data is an estimate of the population mean. First, consider the sample mean, and then examine the confidence interval.
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