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Mathematics

Confidence Intervals

Quick fact

A 95% confidence interval does NOT mean there is a 95% chance the true value lies within that specific interval. Instead, it means that if you repeated the sampling process many times, about 95% of the calculated intervals would capture the true population parameter.

Why this is interesting

You've seen polls with "plus or minus 3 percent" — but what does that really tell you? And why do statisticians say they are 95% confident?