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But upon determining a confidence interval, we can see that there is some overlap between these two values, suggesting there might not be a meaningful difference between our results. Ramping up the sample size is a good way to reduce the confidence interval. https://images.squarespace-cdn.com/content/v1/63b0588a28a0a54e641281e9/3291d0b2-064a-4207-a2d5-090efd12915b/standard+deviation.png Observations - Measurement - The confidence interval formula for 95% confidence. If you report out results on metrics, you should understand this formula. You will end up with a negative and a positive value of the same number from this formula. You should attach this to the top and bottom of your mean, which will provide a range (e.g. 40%-60%) if that range overlaps with any value you are measuring your mean against in the same study, there may not be a meaningful difference. 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