95CI

95CI, or 95% Confidence Interval, is a statistical measure used to estimate the range within which a population parameter is likely to fall with 95% confidence. It is a common method used in inferential statistics to provide a range of values that is likely to contain the true population parameter, such as the mean or proportion.

The 95% Confidence Interval is calculated by taking a sample from the population and using the sample statistics to estimate the population parameter. The interval is constructed in such a way that if the same process were repeated many times, 95% of the intervals would be expected to contain the true population parameter.

The width of the 95% Confidence Interval is influenced by the sample size and the variability within the sample. A larger sample size generally results in a narrower interval, indicating a more precise estimate of the population parameter. Conversely, a smaller sample size or greater variability within the sample can result in a wider interval, indicating less precision.

The 95% Confidence Interval is widely used in various fields, including medicine, social sciences, and engineering, to make inferences about population parameters based on sample data. It provides a range of plausible values for the parameter, allowing researchers and practitioners to make informed decisions and draw conclusions about the population.