Data Journalism
A confidence interval is a range of values that is used to estimate the true value of a population parameter, based on sample data. It reflects the uncertainty surrounding an estimate and provides a range within which the true value is likely to fall, with a specified level of confidence, typically expressed as a percentage. Understanding confidence intervals is crucial in statistical analysis, especially when interpreting results from regression analysis, developing essential skills for data journalists, and learning from past data journalism failures.
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