For more information, go to Ways to get a more precise confidence interval. If the interval is too wide to be useful, consider increasing your sample size. Use your specialized knowledge to determine whether the confidence interval includes values that have practical significance for your situation. 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 difference. The confidence interval provides a range of likely values for the difference between two population means. To better estimate the population difference, use the confidence interval for the difference. Because this value is based on sample data and not on the entire population, it is unlikely that the sample difference equals the population difference. The estimate for difference is an estimate of the difference in the population means. First, consider the difference in the sample means and then examine the confidence interval.
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