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Confidence intervals

A confidence interval is a statistical range that estimates where a true value lies based on sample data. For example, if a survey finds that 60% of people like a product, a confidence interval might say "we're 95% confident that between 55% and 65% of all people like it." This means that if we repeated the survey many times, 95% of the time, the calculated interval would include the true percentage. It helps us understand the uncertainty around estimates and provides a more reliable picture than just a single number.

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    A confidence interval is a range of values used to estimate an unknown quantity. It gives us an idea of how uncertain we are about that estimate. For example, if a survey finds that 60% of people prefer coffee, a confidence interval might say "we're 95% confident that between 55% and 65% of all people prefer coffee." This means that if we repeated the survey many times, 95% of the intervals we calculate would contain the true percentage. Confidence intervals help us understand the reliability of our estimates and the potential variability in data.