Konfidenciaszinttel

Konfidenciaszinttel, often translated as "confidence interval," is a statistical term used to express the range within which a population parameter is likely to lie, based on a sample from that population. It is a fundamental concept in inferential statistics, allowing researchers to make educated estimates about unknown values.

A confidence interval is constructed by taking a sample and calculating a point estimate for the parameter of interest, such as the mean or proportion. This point estimate is then adjusted by a margin of error, which is determined by the desired level of confidence and the variability of the data. The resulting interval provides a range of plausible values for the population parameter.

The confidence level, typically expressed as a percentage (e.g., 95%), indicates the probability that the interval contains the true population parameter if the same sampling procedure were repeated many times. A 95% confidence interval means that if we were to take 100 different samples and construct a confidence interval for each, we would expect approximately 95 of those intervals to capture the true population parameter.

It is important to understand that a confidence interval does not indicate the probability that the true parameter falls within a *specific* calculated interval. Rather, it reflects the reliability of the method used to construct the interval. A wider confidence interval suggests greater uncertainty, while a narrower interval indicates more precision in the estimate.