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Visual Guides/Confidence Intervals
STATISTICS

Confidence Intervals: What They Actually Mean

Run 100 repeated experiments. Each draws a sample of n = 30 from a population with μ = 100 and computes a confidence interval. Watch how many capture the true mean, and how width changes with confidence level.

Intervals generated: 0 / 100
Samples explored: 0 / 3

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Confidence Level

True Population Mean

μ = 100

Sample Size

n = 30

Confidence Level

95%

Each bar shows a 95% confidence interval from one sample of n = 30. Click Generate to run 100 experiments.

Click "Generate 100 Samples" to begin

Statistics

Generate samples to see coverage statistics.

Key Insight

A 95% CI does NOT mean there is a 95% probability the true mean is in this specific interval.

It means: if you repeated the experiment many times, ~95% of the intervals you construct would contain the true parameter.

The true mean is either in any given interval or it is not; the randomness is in the procedure, not the parameter.

Width vs. Confidence

90% CI
±4.66
95% CI
±5.60
99% CI
±7.55

Higher confidence = wider intervals. There is always a tradeoff between precision and confidence.

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