Statistics - (Degree|Level) of confidence

Thomas Bayes


Degree of confidence represents the probability that the confidence interval captures the true population parameter.

With a degree of confidence of 95%, you have 95% confidence that the true population parameters will be in the confidence interval.

95% is the standard.

If you want 95% confidence that you're capturing the true population parameters, you may sometimes have to report a really wide interval.

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