Meaning of Confidence Intervals

Simple definition

A confidence interval is a range of values used in statistics to estimate the uncertainty or variability of a measurement or prediction. It tells you how confident you can be in a result.

How to use Confidence Intervals in a professional context

Confidence intervals are widely used in data analysis, scientific research, and business forecasting to indicate the reliability of an estimate, such as sales projections or survey results.

Concrete example of Confidence Intervals

A market researcher states that a survey’s results show 60% customer satisfaction, with a confidence interval of 55% to 65%. This means the true satisfaction rate is likely within that range.

How is a confidence interval calculated?

It's calculated based on the sample data, mean, and variability, using statistical formulas.

What does a 95% confidence interval mean?

It means there's a 95% chance that the true value lies within the interval.

Are wider intervals better?

Not necessarily; wider intervals indicate more uncertainty, while narrower ones suggest more precision.
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