# Interpreting the Confidence Interval

Get an overview of interpreting the confidence interval.

Given that both confidence intervals are quite similar, let’s focus our interpretation to only the percentile-method confidence interval of (-0.238, 0.302). Recall from the Precise and Shorthand Interpretation lesson that the precise statistical interpretation of a 95% confidence interval is: If this construction procedure is repeated 100 times, then we expect about 95 of the confidence intervals to capture the true value of _{seed} − _{control}. In other words, if we gathered 100 samples of _{seed} − _{control}, while about five won’t. Given that this is a little long-winded, we use the shorthand interpretation: We’re 95% confident that the true difference in proportions _{seed} − _{control} is between (-0.238, 0.302).

There’s one value of particular interest that this 95% confidence interval contains and that’s zero. If

In our case, because the 95% confidence interval includes 0, we can’t conclusively say if either proportion is larger. Of our 1,000 bootstrap resamples with replacement, sometimes _{seed }was higher and so those exposed to yawning yawned themselves more often, and other times, the reverse happened.

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