Confidence Interval for Population Proportion

A confidence interval for a population proportion is a range of values estimated from sample data that likely contains the true percentage of a characteristic in the entire population. For example, if a survey finds that 60% of people like a new product, a confidence interval might be 55% to 65%. This means we are reasonably confident (e.g., 95% confidence) that the true proportion of all people who like the product falls within that range. It accounts for uncertainty due to sampling, providing a statistical way to make informed estimates about a whole population based on a sample.